Secured data storage and auditing of data integrity over dynamic data in cloud
by P. Santhosh Kumar; Latha Parthiban; V. Jegatheeswari
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 8, No. 4, 2018

Abstract: Cloud computing is an emerging technology which supports the storage of data via internet. The process of communication is done in an open-access environment and this in turn creates some security and privacy issues which is a real challenge for the cloud users. This facility shoots up the necessity of secure data auditing mechanism over outsourced data. Most of the existing schemes lack the security feature, which can withstand collusion attacks between the cloud server and the unauthorised users. Another most important problem in existing system is data integrity. This paper presents a technique to overthrow the collusion attacks and the data auditing mechanism is achieved by means of vector commitment and backward unlinkable verifier local revocation group signature. The proposed work involves double encryption technique to deal with the privacy measures in cloud server. To extend the security measures a single file has been split into different blocks and stored with different file names. These may leads to the ambiguity for the attackers to trace out the original data. The performance of the proposed work is analysed and compared with the existing techniques and the experimental results are observed to be satisfactory in terms of computational and time complexity.

Online publication date: Mon, 05-Nov-2018

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