The recent surge in cloud computing arises from its ability to provide software, infrastructure, and platform services without requiring large investments or expenses to manage and operate them. Clouds typically involve service providers,
Infrastructure / resource providers, and service users (or clients). They include applications delivered as services, as well as the hardware and software systems providing these services. Our proposed framework for generic cloud collaboration allows clients and cloud applications to simultaneously use services from and route data among multiple clouds. This framework supports universal and dynamic collaboration in a multicloud system. It lets clients simultaneously use services from multiple clouds without prior business agreements among (CSP) cloud service providers, and without adopting common standards and specifications.
The document discusses security considerations for grid and cloud computing environments. It covers trust models, authentication and authorization methods, and the security infrastructure in grids. It also discusses network, host, and application level security aspects for cloud infrastructure. Key areas of data security are explained, including securing data in transit, at rest, and during processing. Identity and access management architectures and their implementation in cloud models like SaaS, PaaS, and IaaS are outlined.
Cloud computing allows users to access software, storage, and computing resources managed by third parties remotely via the internet. There are three main cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Private clouds are cloud computing platforms implemented within an organization's firewall and controlled by its IT department, offering security and control over data while providing cloud benefits. Building a private cloud requires researching needs, acquiring infrastructure, training staff, and testing in a non-critical environment before full deployment. Managed private clouds are single-tenant private clouds hosted and managed by a third party.
Cloud computing allows users to store and access data over the internet rather than on a local hard drive. There are four deployment models - public, private, hybrid, and community cloud - and three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Performance in cloud computing can be affected by many factors including security, service level agreements, recovery time, storage and buffer capacity, network bandwidth, fault tolerance, availability, number of users, location, workload, and latency. Performance is evaluated based on metrics such as network capacity, input/output commands per second, response time, CPU utilization, throughput, workload, waiting time, processing time
This document discusses cloud computing. It defines cloud computing as network-based computing that takes place over the internet. It describes the characteristics of cloud computing like agility, device and location independence, and multitenancy. It also discusses the different types of cloud like public, private, community, and hybrid clouds. Finally, it outlines the different cloud service models of infrastructure as a service, platform as a service, and software as a service.
This document discusses security concepts related to grid and cloud computing, including trust models, authentication and authorization methods, and the grid security infrastructure (GSI). It describes reputation-based and PKI-based trust models, different authorization models, and the layers and functions of GSI, including message protection, authentication, delegation, and authorization. It also discusses risks and security concerns related to cloud computing.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Cloud computing refers to computing resources and services that are provided over the internet. It allows users to access applications and store data on remote servers rather than local devices. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing can be deployed using public, private, community, or hybrid models depending on factors like security needs and resource sharing requirements. Many universities and organizations are conducting research on cloud computing technologies.
The document discusses the Open Grid Services Architecture (OGSA) and Open Grid Services Infrastructure (OGSI) standards for grid computing. OGSA defines the overall structure and services for grid environments using a distributed computing model. OGSI specifies a set of service primitives and behaviors for grid services. These standards leverage existing web service standards like WSDL to provide interfaces for grid services.
Cloud service management tools provide visibility, control, and automation to efficiently manage cloud services across public and private implementations. They allow monitoring of cloud performance, continuity, and efficiency in virtual environments. Cloud service management also simplifies user interactions, accelerates time to value through self-service catalogs, and lowers costs by automatically allocating and de-allocating resources according to provisioning policies.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
Cloud infrastructure mechanisms are foundational building blocks of cloud environments that establish primary artifacts to form the basis of fundamental cloud technology architecture.
The cloud computing paradigm is still evolving, but has recently gained tremendous momentum. However, security and privacy issues pose as the key roadblock to its fast adoption. In this paper we present security and privacy challenges that are exacerbated by the unique aspects of clouds and show how they're related to various delivery and deployment models. We discuss various approaches to address these challenges, existing solutions, and future work needed to provide a trustworthy cloud computing environment.
This document provides an introduction to cloud computing, including definitions, models, and characteristics. It defines cloud computing as accessing applications over the Internet as utilities. There are three deployment models (public, private, hybrid clouds) and three service models (Infrastructure as a Service, Platform as a Service, Software as a Service). Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, and rapid elasticity.
PRIVACY-PRESERVING PUBLIC AUDITING FOR DATA STORAGESECURITY IN CLOUD COMPUTINGKayalvizhi Selvaraj
This document proposes a privacy-preserving public auditing system for cloud data storage. It allows an external third party auditor (TPA) to audit user's outsourced data stored in the cloud without learning the data content. The proposed scheme supports batch auditing where the TPA can perform multiple auditing tasks simultaneously. It utilizes public key based homomorphic authenticators and random masking techniques to achieve privacy-preserving public auditing for cloud data storage.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
SURVEY ON KEY AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARINGEditor IJMTER
Public-key cryptosystems produce constant-size cipher texts with efficient delegation
of decryption rights for any set of cipher texts. One can aggregate any set of secret keys and make
them as compact as a single key. The secret key holder can release a constant-size aggregate key for
flexible choices of cipher text set in cloud storage. In KAC, users encrypt a message not only under a
public-key, but also under an identifier of cipher text called class. That means the cipher texts are
further categorized into different classes. The key owner holds a master-secret called master-secret
key, which can be used to extract secret keys for different classes. More importantly, the extracted
key have can be an aggregate key which is as compact as a secret key for a single class, but
aggregates the power of many such keys, i.e., the decryption power for any subset of cipher text
classes. The key aggregate cryptosystem is enhanced with boundary less cipher text classes. The
system is improved with device independent key distribution mechanism. The key distribution
process is enhanced with security features to protect key leakage. The key parameter transmission
process is integrated with the cipher text download process.
This document discusses the vision, hype and reality of delivering IT services as computing utilities. It outlines the need for a market oriented cloud architecture to regulate supply and demand of cloud resources. Emerging cloud platforms like Amazon EC2, Google App Engine, Microsoft Live Mesh and Sun Grid are presented. The limitations of present cloud service providers are discussed. Finally, the concept of a Global Cloud Exchange is proposed to address these limitations through features like a market directory, banking system, brokers and price setting mechanisms.
This document provides an overview of advanced concepts in cloud computing. It discusses various topics such as the classification of cloud computing based on deployment models (public, private, hybrid clouds) and service models (IaaS, PaaS, SaaS). The document also covers cloud architecture, business drivers for cloud computing, why organizations choose the cloud, and considerations for cloud deployment.
A FRAMEWORK FOR SOFTWARE-AS-A-SERVICE SELECTION AND PROVISIONINGIJCNCJournal
As cloud computing is increasingly transforming the information technology landscape, organizations and
businesses are exhibiting strong interest in Software-as-a-Service (SaaS) offerings that can help them
increase business agility and reduce their operational costs. They increasingly demand services that can
meet their functional and non-functional requirements. Given the plethora and the variety of SaaS
offerings, we propose, in this paper, a framework for SaaS provisioning, which relies on brokered Service
Level agreements (SLAs), between service consumers and SaaS providers. The Cloud Service Broker (CSB)
helps service consumers find the right SaaS providers that can fulfil their functional and non-functional
requirements. The proposed selection algorithm ranks potential SaaS providers by matching their offerings
against the requirements of the service consumer using an aggregate utility function. Furthermore, the CSB
is in charge of conducting SLA negotiation with selected SaaS providers, on behalf of service consumers,
and performing SLA compliance monitoring
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
This document provides an overview of cloud computing. It discusses the introduction to cloud computing, tools and types of cloud computing including public, private, community and hybrid clouds. It also discusses the clients, cloud network and cloud application programming interface as tools of cloud computing. The document outlines the main services of cloud computing including Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Everything as a Service (XaaS). Finally, it discusses security and data protection in cloud computing, covering data encryption, backing up data and the Cloud Data Management Interface.
This document discusses cloud computing, including definitions of cloud, cloud computing, and the different types of clouds. It defines cloud as a network or internet that provides remote services over public or private networks. Cloud computing refers to accessing and configuring applications online and offers data storage, infrastructure, and applications as a network service. There are four main types of clouds: public, private, hybrid, and community clouds. It also outlines the three major models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
“The chapter is organized into two primary sections that explore cloud delivery model issues pertaining to cloud providers and cloud consumers respectively.”
A diretora parabeniza Patrícia Nogueira pela qualificação como primeira DIQ Pink Power e deseja sucesso para ela. O mês de novembro trará novas oportunidades comerciais devido ao período natalino. O relatório mensal contém informações sobre vendas, aniversariantes, desafios e eventos.
O documento descreve o projeto de revitalização urbana de um centro comercial a céu aberto, incluindo melhorias nas áreas de intervenção urbana, equipamentos, atividades culturais e eventos para atrair novos públicos.
Cloud computing refers to computing resources and services that are provided over the internet. It allows users to access applications and store data on remote servers rather than local devices. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing can be deployed using public, private, community, or hybrid models depending on factors like security needs and resource sharing requirements. Many universities and organizations are conducting research on cloud computing technologies.
The document discusses the Open Grid Services Architecture (OGSA) and Open Grid Services Infrastructure (OGSI) standards for grid computing. OGSA defines the overall structure and services for grid environments using a distributed computing model. OGSI specifies a set of service primitives and behaviors for grid services. These standards leverage existing web service standards like WSDL to provide interfaces for grid services.
Cloud service management tools provide visibility, control, and automation to efficiently manage cloud services across public and private implementations. They allow monitoring of cloud performance, continuity, and efficiency in virtual environments. Cloud service management also simplifies user interactions, accelerates time to value through self-service catalogs, and lowers costs by automatically allocating and de-allocating resources according to provisioning policies.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
Cloud infrastructure mechanisms are foundational building blocks of cloud environments that establish primary artifacts to form the basis of fundamental cloud technology architecture.
The cloud computing paradigm is still evolving, but has recently gained tremendous momentum. However, security and privacy issues pose as the key roadblock to its fast adoption. In this paper we present security and privacy challenges that are exacerbated by the unique aspects of clouds and show how they're related to various delivery and deployment models. We discuss various approaches to address these challenges, existing solutions, and future work needed to provide a trustworthy cloud computing environment.
This document provides an introduction to cloud computing, including definitions, models, and characteristics. It defines cloud computing as accessing applications over the Internet as utilities. There are three deployment models (public, private, hybrid clouds) and three service models (Infrastructure as a Service, Platform as a Service, Software as a Service). Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, and rapid elasticity.
PRIVACY-PRESERVING PUBLIC AUDITING FOR DATA STORAGESECURITY IN CLOUD COMPUTINGKayalvizhi Selvaraj
This document proposes a privacy-preserving public auditing system for cloud data storage. It allows an external third party auditor (TPA) to audit user's outsourced data stored in the cloud without learning the data content. The proposed scheme supports batch auditing where the TPA can perform multiple auditing tasks simultaneously. It utilizes public key based homomorphic authenticators and random masking techniques to achieve privacy-preserving public auditing for cloud data storage.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
SURVEY ON KEY AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARINGEditor IJMTER
Public-key cryptosystems produce constant-size cipher texts with efficient delegation
of decryption rights for any set of cipher texts. One can aggregate any set of secret keys and make
them as compact as a single key. The secret key holder can release a constant-size aggregate key for
flexible choices of cipher text set in cloud storage. In KAC, users encrypt a message not only under a
public-key, but also under an identifier of cipher text called class. That means the cipher texts are
further categorized into different classes. The key owner holds a master-secret called master-secret
key, which can be used to extract secret keys for different classes. More importantly, the extracted
key have can be an aggregate key which is as compact as a secret key for a single class, but
aggregates the power of many such keys, i.e., the decryption power for any subset of cipher text
classes. The key aggregate cryptosystem is enhanced with boundary less cipher text classes. The
system is improved with device independent key distribution mechanism. The key distribution
process is enhanced with security features to protect key leakage. The key parameter transmission
process is integrated with the cipher text download process.
This document discusses the vision, hype and reality of delivering IT services as computing utilities. It outlines the need for a market oriented cloud architecture to regulate supply and demand of cloud resources. Emerging cloud platforms like Amazon EC2, Google App Engine, Microsoft Live Mesh and Sun Grid are presented. The limitations of present cloud service providers are discussed. Finally, the concept of a Global Cloud Exchange is proposed to address these limitations through features like a market directory, banking system, brokers and price setting mechanisms.
This document provides an overview of advanced concepts in cloud computing. It discusses various topics such as the classification of cloud computing based on deployment models (public, private, hybrid clouds) and service models (IaaS, PaaS, SaaS). The document also covers cloud architecture, business drivers for cloud computing, why organizations choose the cloud, and considerations for cloud deployment.
A FRAMEWORK FOR SOFTWARE-AS-A-SERVICE SELECTION AND PROVISIONINGIJCNCJournal
As cloud computing is increasingly transforming the information technology landscape, organizations and
businesses are exhibiting strong interest in Software-as-a-Service (SaaS) offerings that can help them
increase business agility and reduce their operational costs. They increasingly demand services that can
meet their functional and non-functional requirements. Given the plethora and the variety of SaaS
offerings, we propose, in this paper, a framework for SaaS provisioning, which relies on brokered Service
Level agreements (SLAs), between service consumers and SaaS providers. The Cloud Service Broker (CSB)
helps service consumers find the right SaaS providers that can fulfil their functional and non-functional
requirements. The proposed selection algorithm ranks potential SaaS providers by matching their offerings
against the requirements of the service consumer using an aggregate utility function. Furthermore, the CSB
is in charge of conducting SLA negotiation with selected SaaS providers, on behalf of service consumers,
and performing SLA compliance monitoring
The document defines cloud computing as a model for enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. It identifies essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also outlines common cloud service models and deployment models.
This document provides an overview of cloud computing. It discusses the introduction to cloud computing, tools and types of cloud computing including public, private, community and hybrid clouds. It also discusses the clients, cloud network and cloud application programming interface as tools of cloud computing. The document outlines the main services of cloud computing including Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Everything as a Service (XaaS). Finally, it discusses security and data protection in cloud computing, covering data encryption, backing up data and the Cloud Data Management Interface.
This document discusses cloud computing, including definitions of cloud, cloud computing, and the different types of clouds. It defines cloud as a network or internet that provides remote services over public or private networks. Cloud computing refers to accessing and configuring applications online and offers data storage, infrastructure, and applications as a network service. There are four main types of clouds: public, private, hybrid, and community clouds. It also outlines the three major models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
“The chapter is organized into two primary sections that explore cloud delivery model issues pertaining to cloud providers and cloud consumers respectively.”
A diretora parabeniza Patrícia Nogueira pela qualificação como primeira DIQ Pink Power e deseja sucesso para ela. O mês de novembro trará novas oportunidades comerciais devido ao período natalino. O relatório mensal contém informações sobre vendas, aniversariantes, desafios e eventos.
O documento descreve o projeto de revitalização urbana de um centro comercial a céu aberto, incluindo melhorias nas áreas de intervenção urbana, equipamentos, atividades culturais e eventos para atrair novos públicos.
Prgramacion actividades juvenud oct nov-dic 2013juanfra105
Este documento presenta la programación de actividades juveniles organizadas por el Ayuntamiento de Agüimes para los meses de octubre, noviembre y diciembre de 2013. Incluye cursos de orientación, senderismo, actividades acuáticas, talleres sobre emprendimiento y empleo, y clausura de una escuela de dinamización, entre otros. Se proporciona información de fechas, lugares e inscripciones.
ITU-T requirement for cloud and cloud deployment modelHitesh Mohapatra
List and explain the functional requirements for networking as per the ITU-T technical report. List and explain cloud deployment models and list relative strengths and weaknesses of the deployment models with neat diagram.
Public cloud is a cloud computing model where computing resources are dynamically provisioned on-demand via the internet from an off-site third-party provider. It offers flexible resources, scalability, and a pay-per-use model but has less security and customization than private cloud. Popular public cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Cloud computing charecteristics and types altanai bisht , 2nd year, part iiiALTANAI BISHT
Computing is being transformed to a model consisting of services based on their requirements without regard to where the services are hosted or how they are delivered.
This document summarizes a research paper that assesses collaboration frameworks in multi-cloud environments. It explores the viability of cloud service providers collaborating to offer diverse services without heavy infrastructure spending. The paper reviews several proposed collaboration models and frameworks, including a proxy-based framework using different types of proxies, a unified multi-cloud infrastructure using open service models and configurable federations, and a proxy-as-cloud-broker model using dynamic scheduling algorithms. The paper concludes that multi-cloud environments can eliminate vendor lock-in for consumers and allow services to be accessed based on preference and need rather than a single provider. Key challenges to collaboration include standardization and security across provider platforms and services.
Cloud computing basically involves delivering hosted services over the Internet to store, manage, and process data, instead of using local server or a personal computer. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). In scientific terms, cloud computing is a synonym for distributed computing over a network which means the ability to run a program on many connected computers at the same time. Therefore it involves a large number of computers that are connected through a real-time communication network.
This document provides an overview of key concepts related to cloud computing including:
1) Cloud services refer to technology-enabled services that users can access on-demand, such as photo sharing or enterprise resource planning tools.
2) Cloud computing refers to the scalable infrastructure that allows services to flex resources rapidly in response to variable demand.
3) Most cloud services are multi-tenant, meaning software and computing platforms serve multiple clients with access controls to separate each user.
4) Cloud services provide on-demand access and scaling of resources without users needing to manage the underlying infrastructure.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
Cloud computing security through symmetric cipher modelijcsit
Cloud computing can be defined as an application and services which runs on distributed network using
virtualized and it is accessed through internet protocols and networking. Cloud computing resources and
virtual and limitless and information’s of the physical systems on which software running are abstracted
from the user. Cloud Computing is a style of computing in which dynamically scalable and often virtualized
resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or
control over the technology infrastructure in the "cloud" that supports them. To satisfy the needs of the
users the concept is to incorporate technologies which have the common theme of reliance on the internet
Software and data are stored on the servers whereas cloud computing services are provided through
applications online which can be accessed from web browsers. Lack of security and access control is the
major drawback in the cloud computing as the users deal with sensitive data to public clouds .Multiple
virtual machine in cloud can access insecure information flows as service provider; therefore to implement
the cloud it is necessary to build security. Therefore the main aim of this paper is to provide cloud
computing security through symmetric cipher model. This article proposes symmetric cipher model in
order to implement cloud computing security so that data can accessed and stored securely.
A Secure Cloud Storage System with Data Forwarding using Proxy Re-encryption ...IJTET Journal
1. The document describes a secure cloud storage system that uses proxy re-encryption to allow authorized data sharing among multiple users. It focuses on privacy issues in cloud storage and proposes a solution using proxy re-encryption.
2. Proxy re-encryption schemes allow a proxy (like a cloud server) to alter an encrypted file so that it can be decrypted by another user, without revealing the content to the proxy. The proposed system uses this to share files encrypted for one user so they can be decrypted by another authorized user.
3. The system assigns different trust levels to control what data different users can access. A high trust level allows access to more data fields, while a low trust level restricts access. This trust
Abstract--The paper identifies the issues and the solution to overcome these problems. Cloud computing is a subscription based service where we can obtain networked storage space and computer resources. This technology has the capacity to admittance a common collection of resources on request. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. But having many advantages for IT organizations cloud has some issues that must be consider during its deployment. The main concern is security privacy and trust. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario [4].
Keywords--Cloud, Issues, Security, Privacy, Resources, Technology.
Cloud computing provides on-demand, pay-as-you-go computing resources over the internet. It has grown rapidly since the 2000s as a more efficient and flexible alternative to traditional computing models. While promising lower costs and increased agility, cloud computing also presents challenges regarding security, compliance with regulations, vendor lock-in, and auditability that businesses must address through service level agreements with cloud vendors. As the cloud computing industry and standards continue to evolve, many expect it will transform how IT resources are utilized.
An Overview on Security Issues in Cloud ComputingIOSR Journals
This document discusses security issues in cloud computing. It begins by defining cloud computing and its service models, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It then discusses that security is the top challenge for cloud computing according to a survey of IT executives. Specifically, there are concerns about maintaining security, compliance, and control over critical applications and sensitive data when using public cloud environments. The document goes on to provide more details on cloud computing definitions, characteristics, architectures, and the specific security issues involved in cloud computing.
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An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
A Secure Cloud Storage System with Data Forwarding using Proxy Re-encryption ...IJTET Journal
Cloud computing provides the facility to access shared resources and common support which contributes services on
demand over the network to perform operations that meet changing business needs. A cloud storage system, consisting of a collection
of storage servers, affords long-term storage services over the internet. Storing the data in a third party cloud system cause serious
concern over data confidentiality, without considering the local infrastructure limitations, the cloud services allow the user to enjoy the
cloud applications. As the different users may be working in the collaborative relationship, the data sharing becomes significant to
achieve productive benefit during the data accessing. The existing security system only focuses on the authentication; it shows that
user’s private data cannot be accessed by the fake users. To address the above cloud storage privacy issue shared authority based
privacy-preserving authentication protocol is used. In the SAPA, the shared access authority is achieved by anonymous access request
and privacy consideration, attribute based access control allows the user to access their own data fields. To provide the data sharing
among the multiple users proxy re-encryption scheme is applied by the cloud server. The privacy-preserving data access authority
sharing is attractive for multi-user collaborative cloud applications.
Cloud computing delivers computing services as utilities over the internet, similar to how electricity or water are provided. There are different types of cloud deployment models including public, private, hybrid, and community clouds. Additionally, there are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS provides development platforms, and SaaS provides complete software solutions delivered over the internet. Cloud computing offers benefits like on-demand provisioning, elastic scaling, pay-per-use billing, workload resilience, and migration flexibility.
There are many security threats in cloud computing. But the major security threats in the security of the data is third party auditor of data or user data. The various security model varies from application to application. After studying the model of proof of retrievability. The new model will proposed for E-learning, while putting the data on the cloud because security is important factor
This document discusses cloud computing and related topics. It begins with definitions of cloud computing and cloud storage. It then covers cloud architecture, virtualization, cloud services and service models (SaaS, PaaS, IaaS). The document discusses private, public and hybrid cloud types and provides examples. It also discusses cloud management strategies and tools. Opportunities and challenges of cloud computing are presented.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Cooperative packet delivery in hybri...IEEEGLOBALSOFTTECHNOLOGIES
The document proposes a solution for cooperative packet delivery in hybrid wireless mobile networks using a coalitional game-theoretic approach. Mobile nodes form coalitions to cooperatively deliver packets to reduce delivery delays. A coalitional game model analyzes nodes' incentives to cooperate based on delivery costs and delays. Markov chain and bargaining models determine payoffs to find stable coalitions. Simulation results show nodes achieve higher payoffs by cooperating in coalitions than acting alone.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Community aware opportunistic routin...IEEEGLOBALSOFTTECHNOLOGIES
This document proposes a Community-Aware Opportunistic Routing (CAOR) algorithm for mobile social networks. It models communities as "homes" that nodes frequently visit. The CAOR algorithm computes optimal relay sets for each home to minimize message delivery delays. It represents an improvement over existing social-aware algorithms by achieving optimal routing performance between homes rather than relying on locally optimal node characteristics.
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We help media companies streamline operations, enhance media discovery, and stay competitive in the rapidly evolving broadcasting & streaming landscape.
🚀 Ready to Transform Your Media Workflow?
🔗 Visit Us: https://gyrus.ai/
📅 Book a Demo: https://gyrus.ai/contact
📝 Read More: https://gyrus.ai/blog/
🔗 Follow Us:
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Twitter/X - https://twitter.com/GyrusAI
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Build with AI events are communityled, handson activities hosted by Google Developer Groups and Google Developer Groups on Campus across the world from February 1 to July 31 2025. These events aim to help developers acquire and apply Generative AI skills to build and integrate applications using the latest Google AI technologies, including AI Studio, the Gemini and Gemma family of models, and Vertex AI. This particular event series includes Thematic Hands on Workshop: Guided learning on specific AI tools or topics as well as a prequel to the Hackathon to foster innovation using Google AI tools.
Canadian book publishing: Insights from the latest salary survey - Tech Forum...BookNet Canada
Join us for a presentation in partnership with the Association of Canadian Publishers (ACP) as they share results from the recently conducted Canadian Book Publishing Industry Salary Survey. This comprehensive survey provides key insights into average salaries across departments, roles, and demographic metrics. Members of ACP’s Diversity and Inclusion Committee will join us to unpack what the findings mean in the context of justice, equity, diversity, and inclusion in the industry.
Results of the 2024 Canadian Book Publishing Industry Salary Survey: https://publishers.ca/wp-content/uploads/2025/04/ACP_Salary_Survey_FINAL-2.pdf
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/canadian-book-publishing-insights-from-the-latest-salary-survey/
Presented by BookNet Canada and the Association of Canadian Publishers on May 1, 2025 with support from the Department of Canadian Heritage.
Integrating FME with Python: Tips, Demos, and Best Practices for Powerful Aut...Safe Software
FME is renowned for its no-code data integration capabilities, but that doesn’t mean you have to abandon coding entirely. In fact, Python’s versatility can enhance FME workflows, enabling users to migrate data, automate tasks, and build custom solutions. Whether you’re looking to incorporate Python scripts or use ArcPy within FME, this webinar is for you!
Join us as we dive into the integration of Python with FME, exploring practical tips, demos, and the flexibility of Python across different FME versions. You’ll also learn how to manage SSL integration and tackle Python package installations using the command line.
During the hour, we’ll discuss:
-Top reasons for using Python within FME workflows
-Demos on integrating Python scripts and handling attributes
-Best practices for startup and shutdown scripts
-Using FME’s AI Assist to optimize your workflows
-Setting up FME Objects for external IDEs
Because when you need to code, the focus should be on results—not compatibility issues. Join us to master the art of combining Python and FME for powerful automation and data migration.
DevOpsDays SLC - Platform Engineers are Product Managers.pptxJustin Reock
Platform Engineers are Product Managers: 10x Your Developer Experience
Discover how adopting this mindset can transform your platform engineering efforts into a high-impact, developer-centric initiative that empowers your teams and drives organizational success.
Platform engineering has emerged as a critical function that serves as the backbone for engineering teams, providing the tools and capabilities necessary to accelerate delivery. But to truly maximize their impact, platform engineers should embrace a product management mindset. When thinking like product managers, platform engineers better understand their internal customers' needs, prioritize features, and deliver a seamless developer experience that can 10x an engineering team’s productivity.
In this session, Justin Reock, Deputy CTO at DX (getdx.com), will demonstrate that platform engineers are, in fact, product managers for their internal developer customers. By treating the platform as an internally delivered product, and holding it to the same standard and rollout as any product, teams significantly accelerate the successful adoption of developer experience and platform engineering initiatives.
Mastering Testing in the Modern F&B Landscapemarketing943205
Dive into our presentation to explore the unique software testing challenges the Food and Beverage sector faces today. We’ll walk you through essential best practices for quality assurance and show you exactly how Qyrus, with our intelligent testing platform and innovative AlVerse, provides tailored solutions to help your F&B business master these challenges. Discover how you can ensure quality and innovate with confidence in this exciting digital era.
In an era where ships are floating data centers and cybercriminals sail the digital seas, the maritime industry faces unprecedented cyber risks. This presentation, delivered by Mike Mingos during the launch ceremony of Optima Cyber, brings clarity to the evolving threat landscape in shipping — and presents a simple, powerful message: cybersecurity is not optional, it’s strategic.
Optima Cyber is a joint venture between:
• Optima Shipping Services, led by shipowner Dimitris Koukas,
• The Crime Lab, founded by former cybercrime head Manolis Sfakianakis,
• Panagiotis Pierros, security consultant and expert,
• and Tictac Cyber Security, led by Mike Mingos, providing the technical backbone and operational execution.
The event was honored by the presence of Greece’s Minister of Development, Mr. Takis Theodorikakos, signaling the importance of cybersecurity in national maritime competitiveness.
🎯 Key topics covered in the talk:
• Why cyberattacks are now the #1 non-physical threat to maritime operations
• How ransomware and downtime are costing the shipping industry millions
• The 3 essential pillars of maritime protection: Backup, Monitoring (EDR), and Compliance
• The role of managed services in ensuring 24/7 vigilance and recovery
• A real-world promise: “With us, the worst that can happen… is a one-hour delay”
Using a storytelling style inspired by Steve Jobs, the presentation avoids technical jargon and instead focuses on risk, continuity, and the peace of mind every shipping company deserves.
🌊 Whether you’re a shipowner, CIO, fleet operator, or maritime stakeholder, this talk will leave you with:
• A clear understanding of the stakes
• A simple roadmap to protect your fleet
• And a partner who understands your business
📌 Visit:
https://optima-cyber.com
https://tictac.gr
https://mikemingos.gr
fennec fox optimization algorithm for optimal solutionshallal2
Imagine you have a group of fennec foxes searching for the best spot to find food (the optimal solution to a problem). Each fox represents a possible solution and carries a unique "strategy" (set of parameters) to find food. These strategies are organized in a table (matrix X), where each row is a fox, and each column is a parameter they adjust, like digging depth or speed.
AI 3-in-1: Agents, RAG, and Local Models - Brent LasterAll Things Open
Presented at All Things Open RTP Meetup
Presented by Brent Laster - President & Lead Trainer, Tech Skills Transformations LLC
Talk Title: AI 3-in-1: Agents, RAG, and Local Models
Abstract:
Learning and understanding AI concepts is satisfying and rewarding, but the fun part is learning how to work with AI yourself. In this presentation, author, trainer, and experienced technologist Brent Laster will help you do both! We’ll explain why and how to run AI models locally, the basic ideas of agents and RAG, and show how to assemble a simple AI agent in Python that leverages RAG and uses a local model through Ollama.
No experience is needed on these technologies, although we do assume you do have a basic understanding of LLMs.
This will be a fast-paced, engaging mixture of presentations interspersed with code explanations and demos building up to the finished product – something you’ll be able to replicate yourself after the session!
Everything You Need to Know About Agentforce? (Put AI Agents to Work)Cyntexa
At Dreamforce this year, Agentforce stole the spotlight—over 10,000 AI agents were spun up in just three days. But what exactly is Agentforce, and how can your business harness its power? In this on‑demand webinar, Shrey and Vishwajeet Srivastava pull back the curtain on Salesforce’s newest AI agent platform, showing you step‑by‑step how to design, deploy, and manage intelligent agents that automate complex workflows across sales, service, HR, and more.
Gone are the days of one‑size‑fits‑all chatbots. Agentforce gives you a no‑code Agent Builder, a robust Atlas reasoning engine, and an enterprise‑grade trust layer—so you can create AI assistants customized to your unique processes in minutes, not months. Whether you need an agent to triage support tickets, generate quotes, or orchestrate multi‑step approvals, this session arms you with the best practices and insider tips to get started fast.
What You’ll Learn
Agentforce Fundamentals
Agent Builder: Drag‑and‑drop canvas for designing agent conversations and actions.
Atlas Reasoning: How the AI brain ingests data, makes decisions, and calls external systems.
Trust Layer: Security, compliance, and audit trails built into every agent.
Agentforce vs. Copilot
Understand the differences: Copilot as an assistant embedded in apps; Agentforce as fully autonomous, customizable agents.
When to choose Agentforce for end‑to‑end process automation.
Industry Use Cases
Sales Ops: Auto‑generate proposals, update CRM records, and notify reps in real time.
Customer Service: Intelligent ticket routing, SLA monitoring, and automated resolution suggestions.
HR & IT: Employee onboarding bots, policy lookup agents, and automated ticket escalations.
Key Features & Capabilities
Pre‑built templates vs. custom agent workflows
Multi‑modal inputs: text, voice, and structured forms
Analytics dashboard for monitoring agent performance and ROI
Myth‑Busting
“AI agents require coding expertise”—debunked with live no‑code demos.
“Security risks are too high”—see how the Trust Layer enforces data governance.
Live Demo
Watch Shrey and Vishwajeet build an Agentforce bot that handles low‑stock alerts: it monitors inventory, creates purchase orders, and notifies procurement—all inside Salesforce.
Peek at upcoming Agentforce features and roadmap highlights.
Missed the live event? Stream the recording now or download the deck to access hands‑on tutorials, configuration checklists, and deployment templates.
🔗 Watch & Download: https://www.youtube.com/live/0HiEmUKT0wY
Does Pornify Allow NSFW? Everything You Should KnowPornify CC
This document answers the question, "Does Pornify Allow NSFW?" by providing a detailed overview of the platform’s adult content policies, AI features, and comparison with other tools. It explains how Pornify supports NSFW image generation, highlights its role in the AI content space, and discusses responsible use.
Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache C...Markus Eisele
We keep hearing that “integration” is old news, with modern architectures and platforms promising frictionless connectivity. So, is enterprise integration really dead? Not exactly! In this session, we’ll talk about how AI-infused applications and tool-calling agents are redefining the concept of integration, especially when combined with the power of Apache Camel.
We will discuss the the role of enterprise integration in an era where Large Language Models (LLMs) and agent-driven automation can interpret business needs, handle routing, and invoke Camel endpoints with minimal developer intervention. You will see how these AI-enabled systems help weave business data, applications, and services together giving us flexibility and freeing us from hardcoding boilerplate of integration flows.
You’ll walk away with:
An updated perspective on the future of “integration” in a world driven by AI, LLMs, and intelligent agents.
Real-world examples of how tool-calling functionality can transform Camel routes into dynamic, adaptive workflows.
Code examples how to merge AI capabilities with Apache Camel to deliver flexible, event-driven architectures at scale.
Roadmap strategies for integrating LLM-powered agents into your enterprise, orchestrating services that previously demanded complex, rigid solutions.
Join us to see why rumours of integration’s relevancy have been greatly exaggerated—and see first hand how Camel, powered by AI, is quietly reinventing how we connect the enterprise.
AI Agents at Work: UiPath, Maestro & the Future of DocumentsUiPathCommunity
Do you find yourself whispering sweet nothings to OCR engines, praying they catch that one rogue VAT number? Well, it’s time to let automation do the heavy lifting – with brains and brawn.
Join us for a high-energy UiPath Community session where we crack open the vault of Document Understanding and introduce you to the future’s favorite buzzword with actual bite: Agentic AI.
This isn’t your average “drag-and-drop-and-hope-it-works” demo. We’re going deep into how intelligent automation can revolutionize the way you deal with invoices – turning chaos into clarity and PDFs into productivity. From real-world use cases to live demos, we’ll show you how to move from manually verifying line items to sipping your coffee while your digital coworkers do the grunt work:
📕 Agenda:
🤖 Bots with brains: how Agentic AI takes automation from reactive to proactive
🔍 How DU handles everything from pristine PDFs to coffee-stained scans (we’ve seen it all)
🧠 The magic of context-aware AI agents who actually know what they’re doing
💥 A live walkthrough that’s part tech, part magic trick (minus the smoke and mirrors)
🗣️ Honest lessons, best practices, and “don’t do this unless you enjoy crying” warnings from the field
So whether you’re an automation veteran or you still think “AI” stands for “Another Invoice,” this session will leave you laughing, learning, and ready to level up your invoice game.
Don’t miss your chance to see how UiPath, DU, and Agentic AI can team up to turn your invoice nightmares into automation dreams.
This session streamed live on May 07, 2025, 13:00 GMT.
Join us and check out all our past and upcoming UiPath Community sessions at:
👉 https://community.uipath.com/dublin-belfast/
AI Agents at Work: UiPath, Maestro & the Future of DocumentsUiPathCommunity
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Collaboration in multicloud computing environments framework and security issues
1. Collaboration in Multicloud Computing Environments Framework and
Security Issues
ABSTRACT
A proposed proxy-based multicloud computing framework allows dynamic, on the fly collaborations and
resource sharing among cloud-based services, addressing trust, policy, and privacy issues without
preestablished collaboration agreements or standardized interfaces. The recent surge in cloud computing
arises from its ability to provide software, infrastructure, and platform services without requiring large
investments or expenses to manage and operate them. Clouds typically involve service providers,
infrastructure/resource providers, and service users (or clients). They include applications delivered as
services, as well as the hardware and software systems providing these services. Cloud computing
characteristics include a ubiquitous (network-based) access channel; resource pooling; multitenancy; automatic
and elastic provisioning and release of computing capabilities; and metering of resource usage (typically on a
pay-per-use basis). Virtualization of resources such as processors, network, memory, and storage ensures
scalability and high availability of computing capabilities. Clouds can dynamically provision these virtual
resources to hosted applications or to clients that use them to develop their own applications or to store data.
Rapid provisioning and dynamic reconfiguration of resources help cope with variable demand and ensure
optimum resource utilization.
EXISTING SYSTEM:
GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:[email protected]
2. Many existing cloud data services provide similar access control models, in which individual and
organizational privacy, a key requirement for digital identity management, is unprotected. Also, with cloud
computing initiatives, the scope of insider threats, a major source of data theft and privacy breaches, is no
longer limited to the organizational perimeter. Multicloud environments exacerbate these issues because
proxies can access data (which the environment might dynamically move or partition across different clouds)
on behalf of clients. Revealing sensitive information in identity attributes to proxies that grant them
authorization to access the data on behalf of clients is not an attractive solution. Thus, assuring the private and
consistent management of information relevant to ABAC becomes more complex in multicloud systems.
PROPOSED SYSTEM:
Our proposed framework for generic cloud collaboration allows clients and cloud applications to
simultaneously use services from and route data among multiple clouds. This framework supports universal
and dynamic collaboration in a multicloud system. It lets clients simultaneously use services from multiple
clouds without prior business agreements among cloud providers, and without adopting common standards
and specifications. As more organizations adopt cloud computing, cloud service providers (CSPs) are
developing new technologies to enhance the cloud’s capabilities. Cloud mashups are a recent trend; mashups
combine services from multiple clouds into a single service or application, possibly with on-premises (client-
side) data and services. This service composition lets CSPs offer new functionalities to clients at lower
development costs.
MODULE DESCRIPTION:
Number of Modules
After careful analysis the system has been identified to have the following modules:
1. Collaboration Framework For Multicloud System Module.
2. Client/Users Module.
3. Cloud Service Provider Module.
4. Proxy Service Provider Module.
3. 1. Collaboration Framework For Multicloud System Module:
Cloud collaboration allows clients and cloud applications to simultaneously use services from and route data
among multiple clouds. This framework supports universal and dynamic collaboration in a multicloud
system. It lets clients simultaneously use services from multiple clouds without prior business agreements
among cloud providers, and without adopting common standards and specifications.
2. Client/Users Module:
Client sends a request to cloud C1, which dynamically discovers the need to use services from clouds C2 and
C3. C1 employs proxies to manage these interactions. A client that wishes to simultaneously use services from
multiple clouds must individually interact with each cloud service, gather intermediate results, process the
collective data, and generate final results. Proxies can facilitate collaboration without requiring prior
agreements between the cloud service providers. First, the requesting entity chooses proxies to act on its behalf
and to interact with cloud applications. A client or a CSP might employ multiple proxies to interact with
multiple CSPs. It can select proxies based on, for example, latencies between proxies and clouds or workload
conditions at various proxies.
3.Cloud Service Provider Module:
Cloud service providers (CSPs) deploy proxies as an autonomous cloud system and offer it as a service to
clients. A client employs two proxies to interact with CSPs C1 and C2. Alternatively, a client initiates a service
request with C1, which then discovers the need for a service from C2. PSP: proxy service provider. Clients
deploy proxies within the infrastructure of their organization. A client employs two proxies to interact with
CSPs C1 and C2. A client initiates a service request with C1, which then discovers the need for a service from
C2.
4. Proxy Service Provider Module:
It involves deploying proxies as an autonomous cloud that offers collaborative services to clients and CSPs. A
group of CSPs that are willing to collaborate can manage this proxy-as-a-service cloud, or a third-party entity,
a proxy service provider (PSP), can provide management. Clients directly subscribe to the proxy cloud service
and employ them for intercloud collaboration. To protect data at rest and data in transit, proxies must provide a
trusted computing platform that prevents malicious software from taking control and compromising sensitive client and
cloud application data.
4. SOFTWARE REQUIREMENTS:
Operating System : Windows
Technology : Java and J2EE
Web Technologies : Html, JavaScript, CSS
IDE : My Eclipse
Web Server : Tomcat
Tool kit : Android Phone
Database : My SQL
Java Version : J2SDK1.5
HARDWARE REQUIREMENTS:
Hardware : Pentium
Speed : 1.1 GHz
RAM : 1GB
Hard Disk : 20 GB
Floppy Drive : 1.44 MB
Key Board : Standard Windows Keyboard
Mouse : Two or Three Button Mouse
Monitor : SVGA