Title: Hierarchical data partition defence against co-resident attacks

Authors: Junfeng Tian; Zilong Wang; Zhen Li

Addresses: School of Cyber Security and Computer, HeBei University, Hebei, 071000, China ' School of Cyber Security and Computer, HeBei University, Hebei, 071000, China ' School of Cyber Security and Computer, HeBei University, Hebei, 071000, China

Abstract: Co-resident attacks are one of the most dangerous types of attack in the cloud environment, posing a great threat to data security and survivability for users. The existing data partition-based and data backup solutions provide users with higher storage overhead while improving the data security and survivability for users. A hierarchical data partitioning scheme is proposed that enables the multilevel partitioning of the data and makes the data have a certain order, which improves the security of user data while facilitating data management. At the same time, through the encrypted data backup, under the premise of improving the survivability of the user's data, the user's storage overhead is reduced. Finally, experiments prove that the proposed scheme improves the data security and survivability and reduces the user's storage overhead.

Keywords: cloud computing; co-resident attack; hierarchical data partition; HDP; encrypted backup; data theft; data corruption.

DOI: 10.1504/IJICS.2022.127137

International Journal of Information and Computer Security, 2022 Vol.19 No.3/4, pp.288 - 304

Received: 14 Dec 2019
Accepted: 19 Oct 2020
Published online: 23 Nov 2022 *

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