Multi OwnerSecret Key Generation for Ranked Multi-Keyword Search in Cloud

KUCHIPUDIHARSHA BOBBY, SUNJARAPALLI SREENIVAS

Abstract


For privacy concerns, secure searches over encrypted cloud data has motivated several research works under the single owner model. However, most cloud servers in practice do not just serve one owner; instead, they support multiple owners to share the benefits brought by cloud computing. The issue of recovering the encrypted data over the cloud is mind boggling. Numerous search procedures are utilized for recovering the scrambled data from cloud. This paper axes around an arrangement of keyword Search instruments over encrypted data, which gives secured data recovery high proficiency. Search over encrypted data is a method of extraordinary enthusiasm for the cloud computing time, in light of the fact that numerous trust that delicate data must be scrambled before outsourcing to the cloud servers with a specific end goal to guarantee client data security. Concocting a productive and secure search scheme over scrambled data includes strategies from ple spaces. It presumes that, keyword search is intended to be best methodology for searching the encrypted data in the Cloud. It gives more productivity than single keyword search.


Keywords


Cloud Computing; Keyword Search; Outsourced Data; Encrypted Data; Keyword Search Ranked;

References


Hui Cui, Zhiguo Wan, Robert H. Deng, Guilin Wang, and Yingjiu Li “efficient and expressive keyword search over encrypted data in cloud”, IEEE JOURNAL OF , VOL. , NO. , 2016.

Hongwei Li, Yi Yang,Tom H. Luan, Xiaohui Liang, Liang Zhou, Xuemin (Sherman) Shen, “Enabling FineGrained Multi-Keyword Search Supporting Classified Sub-Dictionaries over Encrypted Cloud Data”, IEEE Transactions On Dependable And Secure Computing, Vol. 13, No. 3, May/June 2016.

Wei Zhang, Yaping Lin, Sheng Xiao, JieWu, Siwang Zhou, “Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing”, IEEE Transactions On Computers, Vol. 65, No. 5, May 2016.

Hui Cui, Zhiguo Wan, Robert H. Deng, Guilin Wang, Yingjiu Li, “Efficient and Expressive Keyword Search Over Encrypted Data in Cloud”, IEEE Transactions on Dependable and Secure Computing Journal Of , Vol. , No., 2016.

Chi Chen, Xiaojie Zhu, PeisongShen, Jiankun Hu, Song Guo, ZahirTari, Albert Y. Zomaya, “An Efficient Privacy-Preserving Ranked Keyword Search Method”, IEEE Transactions On Parallel And Distributed Systems, Vol. 27, No. 4, April 2016.

Zhangjie Fu, KuiRen, JiangangShu, Xingming Sun, Fengxiao Huang“, Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement,” IEEE Transactions On Parallel And Distributed Systems, Vol. 27, No. 9, September 2016.

Zhihua Xia, Xinhui Wang, XingmingSun,Qian Wang, Member, “A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data”, IEEE Transactions On Parallel And Distributed Systems, Vol. 27, No. 2, February 2016.

Jingbo Yan, Yuqing Zhang, Xuefeng Liu, “Secure Multikeyword Search Supporting Dynamic Update and Ranked Retrieval”, Services and applications, China Communications, 2016.

Chia-Mu Yu, Chi-Yuan Chen, and Han-Chieh Chao, “Privacy-Preserving Multi-keyword Similarity Search Over Outsourced Cloud Data”, 1932-8184 © 2015 IEEE Systems Journal.

Wenhai Sun, Bing Wang, Ning Cao, Ming Li, Wenjing Lou, Y. Thomas Hou, Hui Li, “Verifiable PrivacyPreserving Multi-Keyword Text Search in the Cloud Supporting Similarity-Based Ranking”, IEEE Transactions On Parallel And Distributed Systems, Vol. 25, No. 11, November 2014.


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