Title: Blockchain-based composite access control and secret sharing-based data distribution for security-aware deployments

Authors: Kalyani Nikhilesh Pampattiwar; Pallavi Vijay Chavan

Addresses: SIES Graduate School of Technology, University of Mumbai, Nerul, Navi Mumbai, India; Ramrao Adik Institute of Technology, D.Y. Patil (Deemed to be University), Nerul, Navi Mumbai, 400706, Maharashtra, India ' Ramrao Adik Institute of Technology, D.Y. Patil (Deemed to be University), Nerul, Navi Mumbai, 400706, Maharashtra, India

Abstract: Securing cloud deployments includes patching and processing data from all input end-points that causes abnormal functioning and intrusions. To incorporate security measures into cloud installations, many security models use single or dual control mechanisms. Cloud deployments are built on static rules, limiting their scalability to certain attack scenarios. To address these limitations, this article presents a novel blockchain-based composite access control and secret sharing-based data distribution architecture for security-aware deployments. The proposed model splits and merges sidechains using a modified genetic algorithm. Quality of service awareness with federated deep learning improves model's performance. This approach combines swarm intelligence with secret sharing and provides dynamic as well as efficient data distribution in the cloud. The model helps mitigate distributed denial of service, Finney, man in the middle, Sybil network attacks, SQL injection and query-based attacks. The model's quality of service performance is monitored and compared against state-of-the-art models under various network traffic scenarios.

Keywords: blockchain; authentication; access control; secret sharing; swarm intelligence; federated learning; cloud; genetic algorithm; quality of service; QoS; security.

DOI: 10.1504/IJICS.2024.143920

International Journal of Information and Computer Security, 2024 Vol.25 No.3/4, pp.292 - 332

Received: 11 May 2023
Accepted: 02 Mar 2024
Published online: 14 Jan 2025 *

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