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

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.