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  • 标题:Energy Efficient and Secured Cloud Data Handling with Multi-User Access Control Strategies
  • 本地全文:下载
  • 作者:K.Nithya ; S. Ilakkiya
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:1
  • 页码:319-330
  • DOI:10.15680/IJIRCCE.2019. 0701036
  • 出版社:S&S Publications
  • 摘要:More and more clients would like to store their data into cloud servers along with the rapid development of cloud computing. The main objective of this system is to introduce duplication free cloud server with powerful encryption and decryption data logics with the avoidance of registration centers along with multiple data owners and data users. New security problems have to be solved in order to help more clients process their data in public cloud. All the cloud having certain space maintenance problems, so that a new mechanism is required in proposed system, which provides duplication free data services over cloud environment. Security is the main constraint in cloud computing environment, which depicts the nature of the third-party registration center avoidance in remote server based data maintenance scheme. In this system we follow the maximum security utility maximization with powerful Message Digest Algorithm (MD5) and Intelligent Data Hashing Algorithm (DHA), which process the data with 256-bit unbreakable encryption mechanism. More enterprises and individuals tend to outsource their personal data to the cloud server, and utilize query services to easily access data anytime, anywhere and on any device. Searchable symmetric encryption (SSE) is often considered as a way to guarantee data privacy and data efficiency. Various data owners encrypt their data with different keys leading to the following two drawbacks: (a)data users need to manage multiple keys for different data owners. (b)data users need to generate multiple trapdoors for data owners’ data even for the same query condition. In this system, we focus on multiple data owners top-k query, whereby the cloud server can merge multiple data indexes encrypted with different keys and efficiently support top-k query.
  • 关键词:Cloud Computing; Multi;keyword Ranked Search; Multiple Data Owners; Security; Cloud Storage
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