JPJ1406 Distributed, Concurrent, and Independent Access to Encrypted Cloud ...chennaijp
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JPD1405 Distributed, Concurrent, and Independent Access to Encrypted Cloud D...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
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distributed, concurrent, and independent access to encrypted cloud databasesswathi78
The document proposes a novel architecture that allows distributed, concurrent and independent access to encrypted cloud databases. This is the first solution that supports geographically distributed clients connecting directly to an encrypted cloud database to perform concurrent and independent operations, including modifications to the database structure. The architecture eliminates intermediate proxies, providing the same availability, elasticity and scalability as the original cloud database service since it does not require any intermediate servers. It guarantees data confidentiality by enabling cloud databases to execute concurrent SQL operations over encrypted data.
Distributed, Concurrent, and Independent Access to Encrypted Cloud DatabasesJPINFOTECH JAYAPRAKASH
Distributed, Concurrent, and Independent Access to Encrypted Cloud Databases
To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.
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Landmark: Next to VVP Nagar Arch.
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Concurrent And Independent Access To Encrypted Cloud DatabasesEditor IJMTER
Since data in cloud will be placed anywhere, because of the critical nature of the applications, it
is important that clouds be secure. The major security challenge with clouds is that the owner of the data
may not have control of where the data is placed. This is because if one wants to exploit the benefits of using
cloud computing. This requirement imposes clear data management choices: original plain data must be
accessible only by trusted parties that do not include cloud providers, intermediaries, and Internet; in any
untrusted context, data must be encrypted. Satisfying these goals has different levels of complexity
depending on the type of cloud service.
We propose SecureDBaaS as the first solution that allows cloud tenants to take full advantage of
DBaaS qualities, such as availability, reliability, and elastic scalability, without exposing unencrypted data
to the cloud provider. The architecture design was motivated by goal: to allow multiple, independent, and
geographically distributed clients to execute concurrent operations on encrypted data, including SQL
statements that modify the database structure.
A Cross Tenant Access Control (CTAC) Model for Cloud Computing: Formal Specif...Prasadu Peddi
This document proposes a Cross Tenant Access Control model for cloud computing. It specifies a cloud resource mediation service that acts as a trusted third party to facilitate secure resource sharing between tenants. Formal specifications and verification are provided for permission activation and delegation algorithms that govern resource access between tenants. The model addresses limitations of traditional access control for cross-tenant resource sharing in cloud environments.
Attribute Based Storage Supporting Secure Deduplication of Encrypted D...Prasadu Peddi
This document discusses an attribute-based storage system that supports secure deduplication of encrypted data in the cloud. It aims to allow data providers to outsource encrypted data to the cloud while maintaining confidentiality. The system uses a hybrid cloud setting where a private cloud detects duplicates and a public cloud manages storage. This allows confidential data sharing through access policies rather than key sharing, and provides semantic security for data confidentiality. Existing systems only provide weaker security. The system requirements for hardware include a Pentium IV 2.4 GHz processor and 1 GB RAM, and for software include Windows 7, C# coding, Visual Studio IDE, and MS SQL Server database.
Secure cloud storage with data dynamic using secure network coding techniqueVenkat Projects
Secure cloud storage with data dynamic using secure network coding technique
In the age of cloud computing, cloud users with limited storage can outsource their data to remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’ data at any point of time. Secure cloud storage protocols enable a client to check integrity of outsourced data. In this work, we explore the possibility of constructing a secure cloud storage for dynamic data by leveraging the algorithms involved in secure network coding. We show that some of the secure network coding schemes can be used to construct efficient secure cloud storage protocols for dynamic data, and we construct such a protocol (DSCS I) based on a secure network coding protocol. To the best of our knowledge, DSCS I is the first secure cloud storage protocol for dynamic data constructed using secure network coding techniques which is secure in the standard model. Although generic dynamic data support arbitrary insertions, deletions and modifications, append-only data find numerous applications in the real world. We construct another secure cloud storage protocol (DSCS II) specific to append-only data — that overcomes some limitations of DSCS I. Finally, we provide prototype implementations for DSCS I and DSCS II in order to evaluate their performance.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
A hybrid cloud approach for secure authorized deduplicationLeMeniz Infotech
A hybrid cloud approach for secure authorized deduplication
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : [email protected]
This document summarizes a research paper that proposes a privacy-preserving public auditing scheme for regenerating-code-based cloud storage. Existing methods only allow private auditing by the data owner, but the proposed system utilizes a third-party auditor and semi-trusted proxy to check data integrity and repair failures on behalf of the data owner. This allows public auditing while maintaining security and reducing the online burden for data owners. The system takes advantage of the properties of regenerating codes to efficiently compute authenticators.
This document proposes a system for public auditing of data stored in the cloud while preserving privacy. It uses homomorphic linear authenticators with random masking to guarantee data privacy. A third party auditor is used to verify the integrity of outsourced data on demand without retrieving the entire dataset. The system aims to prevent data leakage and enhance security with mobile message alerts when unauthorized access is detected. It further improves auditing using a multicast batch RSA authentication scheme.
This document proposes a new approach called two layer encryption (TLE) to delegate fine-grained access control enforcement to public clouds while preserving data and user privacy. Under TLE, the data owner first performs coarse-grained encryption on data items and uploads them to the cloud. Then the cloud performs fine-grained re-encryption of the data based on access control policies provided by the owner. This allows user dynamics like revocations to be handled efficiently by the cloud without owner involvement. TLE also protects user attribute privacy from the cloud. Existing approaches require the owner to frequently re-encrypt and re-upload large amounts of data when users change, which is inefficient.
A computer cluster is a group of loosely coupled computers that work together as a single system. Clusters provide improved speed, reliability, and cost effectiveness over single computers. There are three main types of clusters: high availability clusters which provide uninterrupted services if a node fails; load balancing clusters which distribute work across nodes; and parallel processing clusters which break problems into sub-problems to solve simultaneously. The basic components of clusters are nodes, networks, and applications. Clusters provide benefits like high availability, improved performance, and scalability.
The document discusses privacy-preserving public auditing for ensuring data integrity in cloud computing. It provides an overview of cloud data services and the need for privacy mechanisms when data is shared. Several existing works related to public auditing and their advantages/disadvantages are summarized. The authors then propose a scheme for privacy-preserving public auditing that supports batch auditing and data dynamics. The scheme allows an external auditor to audit user data across multiple requests while preserving privacy.
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage S...JAYAPRAKASH JPINFOTECH
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services
To buy this project in ONLINE, Contact:
Email: [email protected],
Website: https://www.jpinfotech.org
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage S...JAYAPRAKASH JPINFOTECH
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services
To buy this project in ONLINE, Contact:
Email: [email protected],
Website: https://www.jpinfotech.org
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
A Cross Tenant Access Control (CTAC) Model for Cloud Computing: Formal Specif...Prasadu Peddi
This document proposes a Cross Tenant Access Control model for cloud computing. It specifies a cloud resource mediation service that acts as a trusted third party to facilitate secure resource sharing between tenants. Formal specifications and verification are provided for permission activation and delegation algorithms that govern resource access between tenants. The model addresses limitations of traditional access control for cross-tenant resource sharing in cloud environments.
Attribute Based Storage Supporting Secure Deduplication of Encrypted D...Prasadu Peddi
This document discusses an attribute-based storage system that supports secure deduplication of encrypted data in the cloud. It aims to allow data providers to outsource encrypted data to the cloud while maintaining confidentiality. The system uses a hybrid cloud setting where a private cloud detects duplicates and a public cloud manages storage. This allows confidential data sharing through access policies rather than key sharing, and provides semantic security for data confidentiality. Existing systems only provide weaker security. The system requirements for hardware include a Pentium IV 2.4 GHz processor and 1 GB RAM, and for software include Windows 7, C# coding, Visual Studio IDE, and MS SQL Server database.
Secure cloud storage with data dynamic using secure network coding techniqueVenkat Projects
Secure cloud storage with data dynamic using secure network coding technique
In the age of cloud computing, cloud users with limited storage can outsource their data to remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’ data at any point of time. Secure cloud storage protocols enable a client to check integrity of outsourced data. In this work, we explore the possibility of constructing a secure cloud storage for dynamic data by leveraging the algorithms involved in secure network coding. We show that some of the secure network coding schemes can be used to construct efficient secure cloud storage protocols for dynamic data, and we construct such a protocol (DSCS I) based on a secure network coding protocol. To the best of our knowledge, DSCS I is the first secure cloud storage protocol for dynamic data constructed using secure network coding techniques which is secure in the standard model. Although generic dynamic data support arbitrary insertions, deletions and modifications, append-only data find numerous applications in the real world. We construct another secure cloud storage protocol (DSCS II) specific to append-only data — that overcomes some limitations of DSCS I. Finally, we provide prototype implementations for DSCS I and DSCS II in order to evaluate their performance.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
A hybrid cloud approach for secure authorized deduplicationLeMeniz Infotech
A hybrid cloud approach for secure authorized deduplication
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : [email protected]
This document summarizes a research paper that proposes a privacy-preserving public auditing scheme for regenerating-code-based cloud storage. Existing methods only allow private auditing by the data owner, but the proposed system utilizes a third-party auditor and semi-trusted proxy to check data integrity and repair failures on behalf of the data owner. This allows public auditing while maintaining security and reducing the online burden for data owners. The system takes advantage of the properties of regenerating codes to efficiently compute authenticators.
This document proposes a system for public auditing of data stored in the cloud while preserving privacy. It uses homomorphic linear authenticators with random masking to guarantee data privacy. A third party auditor is used to verify the integrity of outsourced data on demand without retrieving the entire dataset. The system aims to prevent data leakage and enhance security with mobile message alerts when unauthorized access is detected. It further improves auditing using a multicast batch RSA authentication scheme.
This document proposes a new approach called two layer encryption (TLE) to delegate fine-grained access control enforcement to public clouds while preserving data and user privacy. Under TLE, the data owner first performs coarse-grained encryption on data items and uploads them to the cloud. Then the cloud performs fine-grained re-encryption of the data based on access control policies provided by the owner. This allows user dynamics like revocations to be handled efficiently by the cloud without owner involvement. TLE also protects user attribute privacy from the cloud. Existing approaches require the owner to frequently re-encrypt and re-upload large amounts of data when users change, which is inefficient.
A computer cluster is a group of loosely coupled computers that work together as a single system. Clusters provide improved speed, reliability, and cost effectiveness over single computers. There are three main types of clusters: high availability clusters which provide uninterrupted services if a node fails; load balancing clusters which distribute work across nodes; and parallel processing clusters which break problems into sub-problems to solve simultaneously. The basic components of clusters are nodes, networks, and applications. Clusters provide benefits like high availability, improved performance, and scalability.
The document discusses privacy-preserving public auditing for ensuring data integrity in cloud computing. It provides an overview of cloud data services and the need for privacy mechanisms when data is shared. Several existing works related to public auditing and their advantages/disadvantages are summarized. The authors then propose a scheme for privacy-preserving public auditing that supports batch auditing and data dynamics. The scheme allows an external auditor to audit user data across multiple requests while preserving privacy.
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage S...JAYAPRAKASH JPINFOTECH
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services
To buy this project in ONLINE, Contact:
Email: [email protected],
Website: https://www.jpinfotech.org
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage S...JAYAPRAKASH JPINFOTECH
A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services
To buy this project in ONLINE, Contact:
Email: [email protected],
Website: https://www.jpinfotech.org
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
Ensuring data security in cloud computing. - Anusha TukeAnusha Chavan
This document discusses ensuring data storage security in cloud computing. It begins by defining cloud computing and noting the security challenges it poses since users lose control of their data. It then proposes a distributed scheme using error-correcting codes to ensure correctness of user data in the cloud while supporting dynamic operations like updates, deletes and appends. The scheme provides data error localization. Analysis shows it is efficient and resilient against attacks while reducing overhead compared to replication techniques.
Cloud computing moves application software and databases to large data centers where management may not be fully trustworthy, posing security challenges. The article focuses on cloud data storage security and proposes a scheme using erasure-coded data with distributed verification and error localization to identify misbehaving servers. Unlike prior works, the scheme supports secure dynamic operations like update, delete and append. Extensive analysis shows it efficiently protects against attacks while supporting data dependencies and dynamics.
A Security and Privacy Measure for Encrypted Cloud DatabaseIJTET Journal
Abstract-- Cloud security is an evolving domain in computer security. It refers to a set of policies, technologies and controls deployed to protect the data, applications, and the associated infrastructure of cloud computing. Existing system does not allow multiple clients to perform concurrent operation. In our proposed architecture there is threefold goal: to allow geographically distributed clients to execute concurrent operations on encrypted data independently including those modifying the DataBase structures. It also offers enhancement of file storage. Multiple clients can directly connect to the cloud server by eliminating the intermediate proxies between the cloud client and cloud server that limits the pliability, readiness and ductility properties. To provide security and privacy for client’s data, the data are stored on cloud in an encrypted form. In storage as a service paradigm confidentiality has been guaranteed with several solutions, while in DataBase as a service paradigm (DBaaS) guaranteeing confidentiality is still an open research area.
Cloud computing is rapidly emerging due to the provisioning of elastic, flexible, and on demand storage and computing services for customers. The data is usually encrypted before storing to the cloud. The access control, key management, encryption, and decryption processes are handled by the customers to ensure data security. A single key shared between all group members will result in the access of past data to a newly joining member. The aforesaid situation violates the confidentiality and the principle of least privilege.
Oracle 11g and 12c are database management systems. Oracle 11g allows for grid computing across clustered servers and has a browser-based interface. It supports creating and manipulating database objects. Oracle 12c has new features like cloud support and a pluggable database architecture. It is designed for the cloud and supports in-memory processing and native JSON. Grid computing links computing resources over a network to complete tasks more quickly. Cloud computing delivers computing resources over the internet in a pay-as-you-go model.
The document discusses the impact of cloud computing on e-learning. It explains that cloud computing provides on-demand access to computing resources and services over the Internet. This allows e-learning platforms to be easily accessible, collaborative, inexpensive to store resources, and scalable. Some key benefits of using cloud computing for e-learning include lower upfront costs, built-in monitoring and analytics, and the ability to access learning materials from anywhere using an Internet connection. Due to these advantages, more educational organizations are moving their e-learning workloads to the cloud.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
Saa s multitenant database architecturemmubashirkhan
The document discusses cloud computing and service models including SaaS, PaaS, and IaaS. It then describes challenges with multitenant databases and proposes two solutions. The first proposes an efficient shared schema approach with authentication and authorization. The second proposes a non-intrusive database for large-scale SaaS with data isolation, security, and scalability. It compares the solutions and recommends backup strategies, encrypted data storage, and unique ID generation.
Slides: Accelerating Queries on Cloud Data LakesDATAVERSITY
Using “zero-copy” hybrid bursting on remote data to solve data lake analytics capacity and performance problems.
Data scientists want answers on demand. But in today’s enterprise architectures, the reality is that most data remains on-prem, despite the promise of cloud-based analytics. Moving all that data to the cloud has typically not been possible for many reasons including cost, latency, and technical difficulty. So, what if there was a technology that would connect these on-prem environments to any major cloud platform, enabling high-powered computing without the need to move massive amounts of data?
Join us for this webinar where Alex Ma of Alluxio, an open-source data orchestration platform, will discuss how a data orchestration approach offers a solution for connecting traditional on-prem data centers and cloud data lakes with other clouds and data centers. With Alluxio’s “zero-copy” burst solution, companies can bridge remote data centers and data lakes with computing frameworks in other locations, enabling them to offload, compute, and leverage the flexibility, scalability, and power of the cloud for their remote data.
Data Lake and the rise of the microservicesBigstep
By simply looking at structured and unstructured data, Data Lakes enable companies to understand correlations between existing and new external data - such as social media - in ways traditional Business Intelligence tools cannot.
For this you need to find out the most efficient way to store and access structured or unstructured petabyte-sized data across your entire infrastructure.
In this meetup we’ll give answers on the next questions:
1. Why would someone use a Data Lake?
2. Is it hard to build a Data Lake?
3. What are the main features that a Data Lake should bring in?
4. What’s the role of the microservices in the big data world?
Datacenter and cloud architectures continue to evolve to address the needs of large-scale multi-tenant data centers and clouds. These needs are centered around dimensions such as scalability in computing, storage, and bandwidth, scalability in network services, efficiency in resource utilization, agility in service creation, cost efficiency, service reliability, and security. Data centers are interconnected across the wide area network via routing and transport technologies to provide a pool of resources, known as the cloud. High-speed optical interfaces and dense wavelength-division multiplexing optical transport are used to provide for high-capacity transport intra- and inter-datacenter. This presentation will provide some brief descriptions on the working principles of Cloud & Data Center Networks.
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
An efficient concurrent access on cloud database using secureDBAASIJTET Journal
Abstract—Cloud services provide high availability and scalability, but they raise many concerns about data confidentiality. SecureDBaas guarantees data Confidentiality by allowing a database server for execute SQL operation over encrypts data and the possibility of executing concurrent operation on encrypts data. It’s supporting geographically distributed clients to connect with an encrypt database, and for execute an independent operation including those modifying the database structure. The proposed architecture has the advantage of eliminating proxies that limit the several properties that are intrinsic in cloud-based solutions. SecureDBaas that support the execution of concurrent and independent operation for the remote database from many geographically distributed clients. It is compatible for the most popular relational database server, and it is applicable for different DBMS implementation. It provides guarantees for data confidentiality by allowing a cloud database server for execute SQL operation over encrypts data.
This document discusses a proposed system for improving social-based routing in delay tolerant networks. The proposed system takes into account both the frequency and duration of contacts to generate a higher quality social graph. It also studies community evolution to dynamically detect overlapping communities and bridge nodes in social networks. Simulation results show the proposed routing algorithm outperforms existing strategies significantly.
1. The document proposes a privacy-preserving public auditing mechanism called Oruta for shared data stored in the cloud.
2. Oruta allows a third party auditor (TPA) to efficiently verify the integrity of shared data for a group of users while preserving their identity privacy.
3. It exploits ring signatures to generate verification information for shared data blocks while keeping the identity of the signer private from the TPA.
This document discusses dynamic cloud pricing for revenue maximization. It first discusses how static pricing is currently dominant but dynamic pricing could improve revenue. It then outlines three contributions: 1) an empirical study finding Amazon spot prices are not set by market demand, motivating developing market-driven dynamic mechanisms, 2) formulating revenue maximization as a stochastic dynamic program to characterize optimal conditions, and 3) extending the model to consider non-homogeneous demand.
The document proposes a cloud-based mobile multimedia recommendation system that can reduce network overhead and speed up the recommendation process. It analyzes limitations of existing systems, including difficulty reusing video tags, lack of scalability, and inability to identify spammers. The proposed system classifies users to recommend desired multimedia content with high precision and recall, while collecting user clusters instead of detailed profiles to avoid exploding network overhead. It utilizes computing resources in large data centers and detects video spammers through a machine learning approach.
"Feed Water Heaters in Thermal Power Plants: Types, Working, and Efficiency G...Infopitaara
A feed water heater is a device used in power plants to preheat water before it enters the boiler. It plays a critical role in improving the overall efficiency of the power generation process, especially in thermal power plants.
🔧 Function of a Feed Water Heater:
It uses steam extracted from the turbine to preheat the feed water.
This reduces the fuel required to convert water into steam in the boiler.
It supports Regenerative Rankine Cycle, increasing plant efficiency.
🔍 Types of Feed Water Heaters:
Open Feed Water Heater (Direct Contact)
Steam and water come into direct contact.
Mixing occurs, and heat is transferred directly.
Common in low-pressure stages.
Closed Feed Water Heater (Surface Type)
Steam and water are separated by tubes.
Heat is transferred through tube walls.
Common in high-pressure systems.
⚙️ Advantages:
Improves thermal efficiency.
Reduces fuel consumption.
Lowers thermal stress on boiler components.
Minimizes corrosion by removing dissolved gases.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
Sorting Order and Stability in Sorting.
Concept of Internal and External Sorting.
Bubble Sort,
Insertion Sort,
Selection Sort,
Quick Sort and
Merge Sort,
Radix Sort, and
Shell Sort,
External Sorting, Time complexity analysis of Sorting Algorithms.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
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Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
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Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
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ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to
understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes
the answer to interpreting the decision-making process that AI malware analysis models use to determine
malicious benign samples to gain trust that in a production environment, the system is able to catch
malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI
as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in
many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to
conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to
balance explainability with security. Following this framework, designing a machine with an AI malware
detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its
decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on
choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique,
implementing AdvXAI defensive measures, and continually evaluating the model. This framework will
significantly contribute to automated malware detection and XAI efforts allowing for secure systems that
are resilient to adversarial attacks.
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Distributed, concurrent, and independent access to encrypted cloud databases
1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
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Distributed, Concurrent, and Independent Access to
Encrypted Cloud Databases
ABSTRACT:
Placing critical data in the hands of a cloud provider should come with the
guarantee of security and availability for data at rest, in motion, and in use. Several
alternatives exist for storage services, while data confidentiality solutions for the
database as a service paradigm are still immature. We propose a novel architecture
that integrates cloud database services with data confidentiality and the possibility
of executing concurrent operations on encrypted data. This is the first solution
supporting geographically distributed clients to connect directly to an encrypted
cloud database, and to execute concurrent and independent operations including
those modifying the database structure. The proposed architecture has the further
advantage of eliminating intermediate proxies that limit the elasticity, availability,
and scalability properties that are intrinsic in cloud-based solutions. The efficacy of
the proposed architecture is evaluated through theoretical analyses and extensive
experimental results based on a prototype implementation subject to the TPC-C
standard benchmark for different numbers of clients and network latencies.
2. EXISTING SYSTEM:
Original plain data must be accessible only by trusted parties that do not
include cloud providers, intermediaries, and Internet; in any untrusted context, data
must be encrypted. Satisfying these goals has different levels of complexity
depending on the type of cloud service. There are several solutions ensuring
confidentiality for the storage as a service paradigm, while guaranteeing
confidentiality in the database as a service (DBaaS) paradigm is still an open
research area.
DISADVANTAGES OF EXISTING SYSTEM:
Cannot apply fully homomorphic encryption schemes because of their
excessive computational complexity.
PROPOSED SYSTEM:
We propose a novel architecture that integrates cloud database services with
data confidentiality and the possibility of executing concurrent operations on
encrypted data.
This is the first solution supporting geographically distributed clients to
connect directly to an encrypted cloud database, and to execute concurrent
and independent operations including those modifying the database
structure.
3. The proposed architecture has the further advantage of eliminating
intermediate proxies that limit the elasticity, availability, and scalability
properties that are intrinsic in cloud-based solutions.
Secure DBaaS provides several original features that differentiate it from
previous work in the field of security for remote database services.
ADVANTAGES OF PROPOSED SYSTEM:
The proposed architecture does not require modifications to the cloud
database, and it is immediately applicable to existing cloud DBaaS, such as
the experimented PostgreSQL Plus Cloud Database, Windows Azure and
Xeround .
There are no theoretical and practical limits to extend our solution to other
platforms and to include new encryption algorithm.
It guarantees data confidentiality by allowing a cloud database server to
execute concurrent SQL operations (not only read/write, but also
modifications to the database structure) over encrypted data.
It provides the same availability, elasticity, and scalability of the original
cloud DBaaS because it does not require any intermediate server.
SYSTEM ARCHITECTURE:
4. SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
5. Operating system : Windows XP/7.
Coding Language : JAVA/J2EE
IDE : Netbeans 7.4
Database : MYSQL
REFERENCE:
Luca Ferretti, Michele Colajanni, and Mirco Marchetti, “Distributed, Concurrent,
and Independent Access to Encrypted Cloud Databases”, IEEE
TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL.
25, NO. 2, FEBRUARY 2014.