Integrity Verification on Clustered Data using PDP in Cloud Environments

D, PRASANTH and N, SANDEEP CHAITANYA and TALLURU, CHAITANYA SAI KUMAR (2016) Integrity Verification on Clustered Data using PDP in Cloud Environments. In: Sixth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2016, 26-27 November 2016, Kuala Lumpur, Malaysia.

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Provable data possession (PDP) is a technique for ensuring the integrity of data in storage outsourcing. In this paper, we address the construction of an efficient PDP scheme for distributed cloud storage to support the scalability of service and data migration, in which we consider the existence of multiple cloud service providers to cooperatively store and maintain the clients’ data. We present a cooperative PDP (CPDP) scheme based on homomorphic verifiable response and hash index hierarchy. We prove the security of our scheme based on multi-prover zero-knowledge proof system, which can satisfy completeness, knowledge soundness, and zero-knowledge properties. In addition, we also propose a fuzzy clustering system for analyzing the high dimensional Data bases in cloud Environments. This paper proposes novel effective fuzzy soft clustering systems with the combination of possibilistic c-means.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Storage Security, Provable Data Possession, fuzzy clustering systems.
Depositing User: Mr. John Steve
Date Deposited: 20 Mar 2019 11:31
Last Modified: 20 Mar 2019 11:31

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