Traffic Load Reduction of Multi-owner, Multikeywords and Multi-user Searches Using Parallel Searching and Cache Trapdoors

摘要

With the development of cloud computing, sensitive information of outsourced data is at the risk of unauthorized accesses and the cost of implementation. Several approaches have been provided to enable searching the encrypted data to protect data privacy but can't handle the problems of traffic load and searching time cost. To combat this issue, this paper presents a cache algorithm for query in the user part to reduce communication cost between the user and cloud provider. Also we propose a parallel searching algorithm to reduce the computation, time of searching and traffic overload in cloud server.