PROJECT TITLE :

TEES : An Efficient Search Scheme over Encrypted Data on Mobile Cloud - 2017

ABSTRACT:

Cloud storage provides a convenient, huge, and scalable storage at low price, but information privacy may be a major concern that prevents users from storing files on the cloud trustingly. One means of enhancing privacy from knowledge owner point of view is to encrypt the files before outsourcing them onto the cloud and decrypt the files after downloading them. But, information encryption may be a significant overhead for the mobile devices, and data retrieval process incurs a difficult communication between the data user and cloud. Normally with limited bandwidth capacity and limited battery life, these problems introduce serious overhead to computing and communication furthermore a higher power consumption for mobile device users, that makes the encrypted search over mobile cloud terribly difficult. In this paper, we tend to propose traffic and energy saving encrypted search (TEES), a bandwidth and energy economical encrypted search design over mobile cloud. The proposed design offloads the computation from mobile devices to the cloud, and we tend to more optimize the communication between the mobile shoppers and therefore the cloud. It's demonstrated that the information privacy does not degrade when the performance enhancement ways are applied. Our experiments show that TEES reduces the computation time by twenty three to 46 % and save the energy consumption by 35 to 55 p.c per file retrieval, meanwhile the network traffics throughout the file retrievals also are significantly reduced.