International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
ISSN: 2583-6129

Impact Factor: 6.674

ENABLING EFFICIENT, SECURE AND PRIVACY PRESERVING MOBILE CLOUD STORAGE

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ENABLING EFFICIENT, SECURE AND PRIVACY PRESERVING MOBILE CLOUD STORAGE

ENABLING EFFICIENT, SECURE AND PRIVACY PRESERVING MOBILE CLOUD STORAGE

K.PRADEEP, K.MADHAVAN, A.JEROLD CHRISTOPHER, P.HEMALATHA

Dept of Computer Science & Engineering
RVS College of Engineering & Technology,
Coimbatore

 

Abstract—Clients can get a handy cloud storage solution thanks to mobile cloud storage (MCS). In this article, we provide a productive, safe, and privacy-preserving mobile cloud storage system that concurrently safeguards data confidentiality and privacy, particularly the access pattern. In particular, we provide an OSU protocol as the fundamental building block of the suggested mobile cloud storage system. The client can obliviously retrieve an encrypted data item from the cloud and update it with a new value by generating a small encrypted vector using OSU, which is based on onion additively Secure encryption with constant encryption layers. This greatly reduces the client's computation and communication overheads. Our work is particularly advantageous for MCS scenarios because to its fine-grained data structure, light client-side processing, and constant connection overhead. Also, by using the file chunks method, our system may be tested for its resistance to malicious cloud. With our improvement, we split a file into pieces and replicate the broken data among cloud nodes. Each server keeps a portion of a data file, ensuring that even in the event of a successful attack, the attacker would not learn any useful information.

Keywords—Fall Detection, Machine Learning, Classifiers, Activities of Daily Living, Gait analysis, Monitoring, Health system

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