Efficient Authority Verification and Ranked Multi Keyword Search in Cloud

Kombathula Chanti Babu, Apvdl kumar


Under the single owner concept, encrypted cloud data has sparked various research projects. In fact, however, most cloud servers do not serve a single owner; rather, they enable several owners to share the benefits of cloud computing. The problem of recovering encrypted data from the cloud is perplexing. For recovering scrambled data from the cloud, a variety of search procedures are used. This work revolves around a set of keyword search instruments applied to encrypted data, resulting in great data recovery proficiency. Because many believe that sensitive data must be scrambled before outsourcing to cloud servers in order to ensure client data security, searching through encrypted data is a method of remarkable interest for the cloud computing moment. Strategies from multiple spaces are used to provide a productive and secure search technique over scrambled data. Keyword search, it is assumed, is the finest way for searching encrypted data in the Cloud. It is more productive than searching for a single term.


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, Peisong Shen, Jiankun Hu, Song Guo, Zahir Tari, 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, Kui Ren, Jiangang Shu, 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, Xingming Sun,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]


  • 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.