• Ms. Megha Desai
• Dr. Uttara Gogate

Cloud storage provides storage at a low cost. But users are concerned about issues like data privacy and security, which inhibit them from storing files on the cloud storage. We can secure data in the cloud by a simple and usual technique of encrypting the data and which later decrypted during file download. But encryption creates overhead on mobile devices. The mode of communication turns more complex while data retrieval from cloud storage to the user device. Mobile has limited bandwidth and battery which makes the encrypted search very challenging. The proposed system with Traffic and Energy-saving Encrypted Search (TEES) algorithm is a bandwidth-efficient encrypted search in the mobile cloud. This proposed architecture offloads the computation, optimizes the communication between, and maintains the data privacy without degrading the performance of the mobile. TEES limits the computation time, saves energy consumption and network traffics while retrieving the files.

Encrypted Search, Traffic and Energy-saving Encrypted Search (TEES), Mobile Cloud storage, Multi-Keyword Search, Query Processing

"An Efficient Search Scheme Over Encrypted Data On Mobile Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.1443-1449, January-2021, Available :http://www.jetir.org/papers/JETIR2101180.pdf

"An Efficient Search Scheme Over Encrypted Data On Mobile Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp1443-1449, January-2021, Available at : http://www.jetir.org/papers/JETIR2101180.pdf