Identity based distributed provable data possession in multi-cloud storage

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IDENTITY-BASED DISTRIBUTED PROVABLE DATA
POSSESSION IN MULTI-CLOUD STORAGE
ABSTRACT:
Remote data integrity checking is of crucial importance in cloud
storage. It can make the clients verify whether their outsourced
data is kept intact without downloading the whole data. In some
application scenarios, the clients have to store their data on
multi-cloud servers. At the same time, the integrity checking
protocol must be efficient in order to save the verifier’s cost.
From the two points, we propose a novel remote data integrity
checking model: ID-DPDP (identity-based distributed provable
data possession) in multi-cloud storage. The formal system
model and security model are given. Based on the bilinear
pairings, a concrete ID-DPDP protocol is designed. The
proposed ID-DPDP protocol is provably secure under the
hardness assumption of the standard CDH (computational
Diffie- Hellman) problem. In addition to the structural

advantage of elimination of certificate management, our ID-DPDP
protocol is also efficient and flexible. Based on the
client’s authorization, the proposed ID-DPDP protocol can
realize private verification, delegated verification and public
verification.
EXISTING SYSTEM:
The foundations of cloud computing lie in the outsourcing of
computing tasks to the third party. It entails the security risks in
terms of confidentiality, integrity and availability of data and
service. The issue to convince the cloud clients that their data
are kept intact is especially vital since the clients do not store
these data locally. Remote data integrity checking is a primitive
to address this issue. For the general case, when the client stores
his data on multi-cloud servers, the distributed storage and
integrity checking are indispensable. On the other hand, the
integrity checking protocol must be efficient in order to make it
suitable for capacity-limited end devices. Thus, based on
distributed computation, we will study distributed remote data

integrity checking model and present the corresponding concrete
protocol in multi-cloud storage.
DISADVANTAGES OF EXISTING SYSTEM:
 Data checking in more complex using multi servers.
 Needed large storage space.
 In sufficient data loss.
PROPOSED SYSTEM:
In identity-based public key cryptography, this paper focuses on
distributed provable data possession in multi-cloud storage. The
protocol can be made efficient by eliminating the certificate
management. We propose the new remote data integrity
checking model: ID-DPDP. The system model and security
model are formally proposed. Then, based on the bilinear
pairings, the concrete ID-DPDP protocol is designed. In the
random oracle model, our ID-DPDP protocol is provably secure.
On the other hand, our protocol is more flexible besides the high

efficiency. Based on the client’s authorization, the proposed ID-DPDP
protocol can realize private verification, delegated
verification and public verification.
ADVANTAGES OF PROPOSED SYSTEM:
It has more significant storage space.
It provides secure public data’s.
Using Private Key generation.

SYSTEM CONFIGURATION:-
HARDWARE REQUIREMENTS:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 512 MB(min)
Hard Disk - 40 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - LCD/LED
SOFTWARE REQUIREMENTS:
Operating system : Windows XP.
Coding Language : .Net
Data Base : SQL Server 2005
Tool : VISUAL STUDIO 2008.

REFERENCE:
Wang, H., “Identity-Based Distributed Provable Data Possession in Multi-
Cloud Storage” IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. PP,
NO. 99, 11 March 2014

This document presents an agenda for discussing identity-based secure distributed data storage schemes. The agenda includes sections on an abstract, introduction, existing systems, objectives, proposed systems, literature survey, system requirements, system design including data flow diagrams and class diagrams, testing, results and performance evaluation, and conclusions. The introduction discusses cloud computing services models. The existing systems section discusses database-as-a-service and its disadvantages. The proposed systems would provide two identity-based secure distributed data storage schemes with properties like file-based access control and protection against collusion attacks.

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This document proposes two identity-based secure distributed data storage schemes. The first scheme is secure against chosen plaintext attacks, while the second is secure against chosen ciphertext attacks. Both schemes allow a file owner to independently set access permissions and prevent unauthorized access or modification of outsourced files by proxy servers. The proposed schemes were designed to address confidentiality and integrity issues with existing distributed data storage systems by incorporating identity-based cryptography and access control set by the file owner.

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Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Nagar, Chennai-83. Landmark: Next to Kotak Mahendra Bank/Bharath Scans Landline: (044) - 43012642 / Mobile: (0)9952649690 Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry - 9 Landmark: Opp. to Thattanchavady Industrial Estate & Next to VVP Nagar Arch. Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690

Identity-Based Distributed Provable Data Possession in Multicloud Storage1crore projects

IEEE PROJECTS 2015 1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider. It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training. Dot Net DOTNET Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems Java Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems ECE IEEE Projects 2015 1. Matlab project 2. Ns2 project 3. Embedded project 4. Robotics project Eligibility Final Year students of 1. BSc (C.S) 2. BCA/B.E(C.S) 3. B.Tech IT 4. BE (C.S) 5. MSc (C.S) 6. MSc (IT) 7. MCA 8. MS (IT) 9. ME(ALL) 10. BE(ECE)(EEE)(E&I) TECHNOLOGY USED AND FOR TRAINING IN 1. DOT NET 2. C sharp 3. ASP 4. VB 5. SQL SERVER 6. JAVA 7. J2EE 8. STRINGS 9. ORACLE 10. VB dotNET 11. EMBEDDED 12. MAT LAB 13. LAB VIEW 14. Multi Sim CONTACT US 1 CRORE PROJECTS Door No: 214/215,2nd Floor, No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai, Tamin Nadu, INDIA - 600 026 Email id: [email protected] website:1croreprojects.com Phone : +91 97518 00789 / +91 72999 51536

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Privacy preserving and content-protecting location based queriesPapitha Velumani

Pack prediction based cloud bandwidth and cost reduction systemPapitha Velumani

The document presents PACK (Prediction-based ACKs), a novel end-to-end traffic redundancy elimination system designed for cloud computing. It aims to reduce bandwidth costs by offloading the processing to end clients, minimizing server costs. Unlike previous sender-based solutions, PACK is receiver-based and does not require the server to continuously maintain client status. The receiver sends predictions to the server, which responds with ACKs if redundancy is detected instead of sending the data. This makes PACK suitable for mobile and elastic cloud environments. Experiments show the approach can reach speeds over 3Gb/s, faster than traditional methods.

Occt a one class clustering tree for implementing one-to-man data linkagePapitha Velumani

Leveraging social networks for p2p content based file sharing in disconnected...Papitha Velumani

LDBP: localized boundary detection and parametrization for 3 d sensor networksPapitha Velumani

Integrity for join queries in the cloudPapitha Velumani

Improving fairness, efficiency, and stability in http based adaptive video st...Papitha Velumani

Friendbook a semantic based friend recommendation system for social networksPapitha Velumani

This document describes Friendbook, a semantic-based friend recommendation system that analyzes users' lifestyle data collected from sensors in smartphones to recommend potential friends. It aims to address limitations of existing social networks that rely only on users' social graphs. Friendbook uses topic modeling to extract lifestyle information from daily sensor data and measures similarity between users' lifestyles to identify likely friend candidates. The system was implemented on Android smartphones and evaluated through experiments.