ABSTRACT Cloud service providers (CSPs) frequently use data backup as a tactic to reduce the possibility of data loss. A CSP frequently maintains multiple copies of each piece of data on geographically dispersed servers in order to boost reliability. The potential for consumers to face increased fees with the storage of additional copies is a significant concern with this replication approach. To assist users in confirming whether an untrusted CSP keeps all of their replicas in various geographic locations, an auditing service is necessary. Besides, user revocation guarantees that revoked users cannot manipulate or access replicas across locations. Incorporating revocation into auditing strengthens data integrity while optimizing computational costs. In this paper, a user‐revocation based multi‐replica outsourced data auditing (UR‐MRODA) technique that incorporates geographic location awareness is proposed for distributed cloud storage. The aim of the UR‐MRODA technique is to confirm the geographical locations and integrity of a cloud user's data replication. The UR‐MRODA technique combines a lightweight Feistel structured tiny encryption (LW‐FSTE) algorithm and improved identity‐based signature generation (IID‐SGA) to avoid unauthorized modifications across multiple data replicas. The Python programming language is used to assess the UR‐MRODA scheme, and the findings prove to be efficient in terms of user revocation cost and computation cost at data owner (DO).
Srivastava et al. (Tue,) studied this question.
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