Secure and Scalable Data Replication Strategies in Distributed Storage Networks
Suresh Bysani Venkata Naga, Krishna Chaitanya Sunkara, Senthilkumar Thangavel, Ramakrishnan Sundaram · International Journal of AI BigData Computational and Management Studies · 2021
Data replication can be defined as one of the most vital approaches in the case of distributed storage networks and is used for achieving reliability, availability and performance. Nevertheless, future issues are still real, including security threats, expansion limitations, and optimization inconveniences. This paper researches secure and scalable data replication, focusing on a comparative analysis of the techniques and their performance index based on analytical and scientific data. Encryption, access control, and blockchain-based ways of ascertaining the integrity of a message are included in this study to address the security issue while minimizing resource consumption and redundancy. The findings in the simulation show that by applying the proposed method, high availability can indeed be achieved while at the same time having a very low latency as compared to the existing ones with improved security