A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing
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Abstract
Observing the view of cloud computing, it has become augmenting popular for data owners to outside supplier their information to public cloud servers while allowing data users to regain this data. To relate to seclusion, safe searches over encrypted cloud data have provoke more research works under the sole owner model. However, most cloud servers in practice do not just Serve unique owner; instead, they support multiple owners to share the benefits brought by cloud computing. In this paper, we suggest -To keep safe the secrecy and several owner model search several keywords and Ranked. To make possible cloud servers to execute safe to look omission knowing the real information of both keywords and trapdoors, To keep alive the privacy of related scores between keywords and files and rank the search result, we suggest a novel Additive Order and Privacy Preserving Function family and dynamic hidden key creation rule and a new data user to establish as genuine rule.
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References
R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable symmetric encryption: improved definitions and efficient constructions,” in Proc. ACM CCS’06, VA, USA, pp. 79–88, Oct. 2006.
R. Agrawal, J. Kiernan, R. Srikant, and Y. Xu, “Order preserving encryption for numeric data,” in Proc. ACM SIGMOD’04, Paris, France, pp. 563–574, Jun. 2004.
D. B. et al., “Public key encryption with keyword search secure against keyword guessing attacks without random oracle,” EUROCRYPT, vol. 43, pp. 506–522, 2004.
D.Song, D.Wagner, and A.Perrig, “Practical techniques for searches on encrypted data,” in Proc. IEEE International Symposium on Security and Privacy (S&P’00), Nagoya, Japan, Jan. 2000, pp. 44–55.
R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable symmetric encryption: improved definitions and efficient constructions,” in Proc. ACM CCS’06, VA, USA, Oct. 2006, pp. 79–88.
P. Golle, J. Staddon, and B. Waters, “Secure conjunctive keyword search over encrypted data,” in Proc. Applied Cryptography and Network Security (ACNS’04), Yellow Mountain, China, Jun. 2004, pp. 31–45.
C. Wang, N. Cao, J. Li, K. Ren, and W. Lou, “Secure ranked keyword search over encrypted cloud data,” in Proc. IEEE Distributed Computing Systems (ICDCS’10), Genoa, Italy, Jun. 2010, pp. 253–262.
N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, “Privacypreserving multi-keyword ranked search over encrypted cloud data,” in Proc. IEEE INFOCOM’11, Shanghai, China, Apr. 2011, pp. 829–837
J. Li, Q. Wang, C. Wang, N. Cao, K. Ren, and W. Lou, “Fuzzy keyword search over encrypted data in cloud computing,” in Proc. IEEE INFOCOM’10, San Diego, CA, Mar. 2010, pp. 1–5.
P. Xu, H. Jin, Q. Wu, and W. Wang, “Publickey encryption with fuzzy keyword search: A provably secure scheme under keyword guessing attack,” Computers, IEEE Transactions on, vol. 62, no. 11, pp. 2266– 2277, 2013.
B. Wang, S. Yu, W. Lou, and Y. T. Hou, “Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud,” in IEEE INFOCOM, Toronto, Canada, May 2014, pp. 2112–2120.
C. Wang, N. Cao, K. Ren, and W. Lou, “Enabling secure and efficient ranked keyword search over outsourced cloud data,” Parallel and Distributed Systems, IEEE Transactions on, vol. 23, no. 8, pp. 1467– 1479, 2012.
W. Sun, S. Yu, W. Lou, Y. T. Hou, and H. Li, “Protecting your right: Attribute-based keyword search with fine-grained owner-enforced search authorization in the cloud,” in Proc.IEEE INFOCOM’14, Toronto, Canada, May 2014, pp. 226–234.
Q. Zheng, S. Xu, and G. Ateniese, “Vabks: Verifiable attributebased keyword search over outsourced encrypted data,” in Proc. IEEE INFOCOM’14, Toronto, Canada, May 2014, pp. 522– 530.
T. Jung, X. Y. Li, Z. Wan, and M. Wan, “Privacy preserving cloud data access with multiauthorities,” in Proc. IEEE INFOCOM’13, Turin, Italy, Apr. 2013, pp. 2625–2633