The multi storage Protocol with Ranked Multi-Keyword Search in Cloud

Jala Prasadarao, M V V B S Kiran

Abstract


Cloud storage is especially notable in continuous example as it gives more benefits over the standard stockpiling courses of action. To ensure security in cloud, encryption techniques expect an important part when information are moved to the cloud. The issue of recuperating the scrambled information over the cloud is awesome. Various pursuit strategies are used for recuperating the mixed information from cloud. This paper tomahawks around a course of action of catchphrase Search instruments over scrambled information, which gives got information recuperation high capability. Search over encoded information is a technique for exceptional excitement for the distributed computing time, considering the way that various trust that fragile information should be mixed prior to moving to the cloud workers with a particular ultimate objective to ensure customer information security. Devising a profitable and secure inquiry plot over mixed information incorporates procedures from ple spaces. It assumes that, watchword search is expected to be best strategy for looking through the scrambled information in the Cloud. It gives more profitability than single catchphrase search.


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.


Full Text: PDF [Full Text]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

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