Cloud data integrity auditing over dynamic data for multiple users

Abstract

Cloud computing is a state-of-the-art computing model, which encourages remote data storage. This facility shoots up the necessity of secure data auditing mechanism over outsourced data. Several mechanisms are proposed in the literature for supporting dynamic data. However, most of the existing schemes lack the security feature, which can withstand collusion attacks between the cloud server and the abrogated users. 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 abrogation group signature. The proposed work allows multiple users to deal with the remote cloud data. The performance of the proposed approach is checked in terms of update, verify and enquiry time cost. The performance of the proposed work is analysed and compared with the existing techniques. The update time cost is lesser than the comparative techniques. However the verify time cost is greater, because of the process of integrity verification of the signature. Hence, this work ensures quality of service and tightened security by having reasonable update time and a strict verification policy respectively.