Asian Journal of Computer Science and Technology (AJCST)
Encrypted Mobile Cloud Data Searching With Efficient Traffic and Energy Saving Method
Author : M. Jamuna and A. SupriyaVolume 8 No.3 Special Issue:June 2019 pp 122-127
Abstract
Cloud storage provides a convenient, massive, and scalable storage at low value; however information privacy could be a major concern that prevents users from storing files on the cloud confidingly. a technique of enhancing privacy from information owner purpose of read is to cipher the files before outsourcing them onto the cloud and decode the files when downloading them. However, encryption could be a heavy overhead for the mobile devices, and information retrieval method incurs an advanced communication between the information user and cloud. Commonly with restricted bandwidth capability and restricted battery life, these problems introduce significant overhead to computing and communication as well as the next power consumption for mobile device users that makes the encrypted search over mobile cloud terribly difficult. During this paper, we tend to propose traffic and energy saving encrypted search (TEES), a bandwidth and energy efficient encrypted search design over mobile cloud. The planned design offloads the computation from mobile devices to the cloud, and that we any optimize the communication between the mobile clients and also the cloud. It’s demonstrated that the information privacy doesn’t degrade once the performance sweetening ways square measure applied. Our experiments show that TEES reduces the computation time by twenty three to forty six p.c and save the energy consumption by 35 to 55 percent per file retrieval; meanwhile the network traffics throughout the file retrievals also are considerably reduced.
Keywords
Mobile Cloud Storage, Searchable Data Encryption, Energy Efficiency, Traffic Efficiency
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