Data Deduplication With Attribute Based Encryption on Multiple Servers of Cloud
Keywords:
Deduplication, file level deduplication, block level deduplication token, reliability, secret sharingAbstract
Data deduplication technique is used to reduce the storage space requirement of the organizations. Data de-duplication is used to remove the multiple copies of same data. By deduplication we save only unique copy of the data and replace all other copies with a pointer which points to the original data file. The proposed system performs the deduplication in two levels i.e. file level and block level. In file level deduplication check the token is generated for the file and check on the storage for the same token, if the token is existed in the public cloud then instead of uploading the file the user gets the file pointer of the saved file for their reference and use. When the file level deduplication shows the result as file is unique then it go for the block level deduplication check. File level deduplication is already done but it has a drawback that it is useful only when both the files are unique. In proposed system block level deduplication is used to solve this issue, it divides the file into the blocks and then perform the deduplication check.
References
[1] S. Halevi, D. Harnik, B. Pinkas, and A. Shulman-Peleg, Proofs of ownership in remote storage systems, In Y. Chen, G. Danezis and V.
Shmatikov, editors, ACM Conference on Computer and Communications Security, pages 491-500, ACM, 2011.
[2] J. Yuan and S. Yu., Secure and constant cost public cloud storage auditing with deduplication, IACR Cryptology ePrint Archive, 2013:149, 2013.
[3] M. Bellare, S. Keelveedhi, and T. Ristenpart, Dupless: Server- aided encryption for deduplicated storage, In USENIX Security Symposium, Harlow, 2013.
[4] J. Stanek, A. Sorniotti, E. Androulaki, and L. Kencl, A secure data deduplication scheme for cloud storage, In Technical Report 2013.
[5] J. Li, X. Chen, M. Li, J. Li, P. Lee, and W. Lou, Secure deduplication with efficient and reliable convergent key management, In IEEE Transactions on Parallel and Distributed Systems 2013.
[6] J. R. Douceur, A. Adya, W. J. Bolosky, D. Simon, and M. Theimer, Reclaiming space from duplicate files in a serverless distributed file system, In ICDCS, Harlow, pages 617-624, 2002.
[7] M. Bellare, S. Keelveedhi, and T. Ristenpart, Message-locked encryption and secure deduplication, In EUROCRYPT pages 296-312, 2013.
[8] J. Xu, E.-C. Chang, and J. Zhou, Weak leakage-resilient client- side deduplication of encrypted data in cloud storage, In ASIACCS, pages 195-206, 2013.
[9] P. Anderson and L. Zhang, Fast and secure laptop backups with encrypted de-duplication, In Proc. of USENIX LISA, 2010.
[10] A. Rahumed, H. C. H. Chen, Y. Tang, P. P. C. Lee, and J. C. S. Lui, A secure cloud backup system with assured deletion and version control, In 3rd International Workshop on Security in Cloud Computing, 2011.
[11] M. W. Storer, K. Greenan, D. D. E. Long, and E. L. Miller, Secure data deduplication, In Proc. of StorageSS, 2008.
[12] Z. Wilcox-OHearn and B. Warner., Tahoe: the least- authority filesystem, In Proc. of ACM StorageSS. 2008.
[13] R. D. Pietro and A. Sorniotti, Boosting efficiency and security in proof of ownership for deduplication,In H. Y. Youm and Y. Won, editors, ACM Symposium on Information, Computer and Communications Security, pages 81-82, ACM, 2012.
[14] W. K. Ng, Y. Wen, and H. Zhu., Private data deduplication protocols in cloud storage, In S. Ossowski and P. Lecca, editors, Proceedings of the 27th Annual ACM Symposium on Applied Computing, pages 441-446, ACM, 2012.
[15] S. Bugiel, S. Nurnberger, A. Sadeghi, and T. Schneider, Twin clouds: An architecture for secure cloud computing, In Workshop on Cryptography and Security in Clouds (WCSC 2011), 2011.
[16] K. Zhang, X. Zhou, Y. Chen, X. Wang, and Y. Ruan, Sedic: privacyaware data intensive computing on hybrid clouds, In Proceedings of the 18th ACM conference on Computer and communications security, CCS11, pages 515-526, New York, NY, USA, 2011. ACM.
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