Title: Cloud storage protection using responsive hiding of crucial data and facilitating identity-based integrity auditing

Authors: Victor Chang; Ashwini Ginnarapu; Lewis Golightly; Qianwen Xu

Addresses: Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK ' Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK ' Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK ' Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK; International Business School Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, China

Abstract: When maintaining data privacy and the anonymity of user identity, the effectiveness of auditing the integrity of data shared is becoming difficult. Remote information trustworthiness reviewing is planned in ensuring the correctness of the information put away over the cloud storage. The most effective method to acknowledge information imparting to sensitive data is still not investigated to date. We propose remote information trustworthiness reviewing a plan that acknowledges information offering to delicate data stowing away in this literature. Towards this plan, a data-sanitiser is utilised to sterilise client information squares comparing the touchy data from the record and changes that information squares' marks towards legitimate segments of this sanitised document. Thus, integrity auditing could be achieved using pin-signatures to authenticate sanitised files, which facilitate data owners' files to be shared, even containing sensitive data by encrypting crucial data with a clause to safeguard other data users in the cloud.

Keywords: cloud storage; system design for storage; performance evaluation for storage; electronic personal health records; EPHRs.

DOI: 10.1504/IJBIS.2023.133510

International Journal of Business Information Systems, 2023 Vol.44 No.1, pp.1 - 23

Received: 13 Jul 2020
Accepted: 26 Jul 2020
Published online: 19 Sep 2023 *

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