Title: CBSOACH: design of an efficient consortium blockchain-based selective ownership and access control model with vulnerability resistance using hybrid decision engine

Authors: Kalyani Nikhilesh Pampattiwar; Pallavi Vijay Chavan

Addresses: Department of Computer Engineering, Ramrao Adik Institute of Technology, D.Y. Patil Deemed to be University, India; SIES GST, Nerul, Navi Mumbai, 400706, Maharashtra, India ' Department of Information Technology, Ramrao Adik Institute of Technology, D.Y. Patil Deemed to be University, Nerul, Navi Mumbai, 400706, Maharashtra, India

Abstract: Cloud deployments are prone to vulnerabilities and attacks, mitigated via security patches. However, these patches increase the computational complexity of the deployments, thus reducing their quality-of-service performance. To overcome this limitation and maintain high-security levels, this text proposes the design of the CBSOACH model, which is a novel consortium blockchain-based selective ownership and access control model with vulnerability resistance using a hybrid decision engine. The model introduces header-level pattern analysis, which processes all incoming traffic using a light-weight rule-based method. Header-level pattern analysis is backed by a consortium blockchain model that allows for efficient ownership control with minimum overheads. Due to a combination of header-level pattern analysis with consortium blockchain, the model can maintain traceability, trustability, immutability and distributed computing capabilities. The model can reduce attack probability while maintaining lower delay and high-efficiency ownership transfer. This increases the scalability and usability of the model for large-scale deployments.

Keywords: cloud; ownership; pattern; blockchain; authentication; access control; consortium; attacks; accuracy; delay.

DOI: 10.1504/IJCSE.2023.129744

International Journal of Computational Science and Engineering, 2023 Vol.26 No.2, pp.129 - 142

Received: 20 Jan 2022
Accepted: 10 Apr 2022
Published online: 22 Mar 2023 *

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