Cloud Storage System Towards Dynamic Encrypted Cloud Data With Symmetric-Key Based Verification

KAKARA MADHUSUDHANA RAJU, B. MAHA LAKSHMI RAO

Abstract


Verifiable Searchable Symmetric Encryption, as an important cloud security technique, allows users to retrieve the encrypted data from the cloud through keywords and verify the validity of the returned results. Dynamic update for cloud data is one of the most common and fundamental requirements for data owners in such schemes. 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.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




Copyright © 2012 - 2023, All rights reserved.| ijitr.com

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.