Secure Searching Mechanism for Cloud Computing Based Cloud Storage System

M.PRIYANKA REDDY, YEDIDA RAMA KRISHNA

Abstract


Cloud computing has been considered an enterprise for IT infrastructure, which can organize huge resource of computing, storage and applications, and enable users to enjoy ubiquitous, convenient on-demand network access to a configurable computing resources with great efficiency and minimal economic overhead for shared pool. Attracted by these appealing features, both individuals and enterprises are motivated to contract out their data to the cloud, instead of purchasing software and hardware to manage the data themselves. So far, most of the works have been proposed under different threat models to achieve various search functions, such as single keyword search, similarity search, multi- keyword Boolean search, ranked search, multi-keyword ranked search, etc. Among them, multikeyword ranked search achieves more attention for its practical applicability. propose a secure and ranked multikeyword search protocol in a multi-owner cloud model over encrypted cloud data,


Keywords


Cloud Security; Privacy; Utility Computing; Public Auditing; Third Party Agents And Services;

References


SushmitaRuj, Milos Stojmenovic, Amiya Nayak, "Decentralized Access Control with Anonymous Authentication for Securing Data in Clouds,"IEEE Transactions on Parallel and Distributed Systems, pp. 1045- 9219, 2013.

S. Ruj, M. Stojmenovic and A. Nayak, “Privacy Preserving Access Control with Authentication for Securing Data in Clouds”, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 556–563, 2012.

C. Wang, Q. Wang, K. Ren, N. Cao and W. Lou, “Toward Secure and Dependable Storage Services in Cloud Computing”, IEEE T. Services Computing, vol. 5, no. 2, pp. 220–232, 2012.

J. Li, Q. Wang, C. Wang, N. Cao, K. Ren, and W. Lou, “Fuzzy keyword search over encrypted data in cloud computing,” in IEEE INFOCOM. , pp. 441–445, 2010.

S. Kamara and K. Lauter, “Cryptographic cloud storage,” in Financial Cryptography Workshops, ser. Lecture Notes in Computer Science, vol. 6054. Springer, pp. 136–149, 2010.

H. Li, Y. Dai, L. Tian, and H. Yang, “Identity-based authentication for cloud computing,” in CloudCom, ser. Lecture Notes in Computer Science, vol. 5931. Springer, pp. 157–166, 2009.

C. Gentry, “A fully homomorphic encryption scheme,” Ph.D. dissertation, Stanford University, 2009, http://www.crypto.stanford.edu/craig.

A.-R. Sadeghi, T. Schneider, and M. Winandy, “Tokenbased cloud computing,” in TRUST, ser. Lecture Notes in Computer Science, vol. 6101. Springer, pp. 417–429, 2010.

R. K. L. Ko, P. Jagadpramana, M. Mowbray, S. Pearson, M. Kirchberg, Q. Liang, and B. S. Lee, “Trustcloud: A framework for accountability and trust in cloud computing,” HP Technical Report HPL-2011-38. Available at http://www.hpl.hp.com/techreports/2011/HPL-2011-38.html.

R. Lu, X. Lin, X. Liang, and X. Shen, “Secure Provenance: The Essential of Bread and Butter of Data Forensics in Cloud Computing,” in ACM ASIACCS, pp. 282– 292, 2010.


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