Systematic Security Design for Big Data Frameworks Over Cloud Computing

Systematic Security Design for Big Data Frameworks Over Cloud Computing

Dr. Mahesh Kotha, Dr. Bodla Kishor

Associate Professor, Department of CSE (AI&ML), CMR Technical Campus, Hyderabad.

Associate Professor, Department of CSE, CMR Engineering College, Hyderabad.

Abstract: Big Data (BD) activities now prefer to be computed via cloud deployment architectures. Their cost-effectiveness, scalability, and adaptability drove this trend. The data are no longer directly managed by the user in such a deployment strategy, which creates additional security issues. The broad use of cloud architectures in this context is greatly influenced by BD security. But without a preliminary analysis that guarantees a realistic secure assembly and tackles domain-specific risks, creating a comprehensive security plan is difficult. A unique security-by-design framework for BD framework deployment over cloud computing (BigCloud) is presented in this article. Specifically, it depends on a fully automated security assessment framework and a methodical security analysis approach. During the design process, our platform makes it possible to bridge BigCloud security domain knowledge to best practices. We used a use case with the Apache Hadoop stack to validate the suggested framework. The results of the study show how successful it is at raising security awareness and cutting down on security design time. The suggested framework's advantages and disadvantages are also assessed, and the key issues that still need to be resolved in the BigCloud space are highlighted.

Keywords: cloud computing security, data protection, reference architecture, security analysis pattern.