Enhanced Blockchain-Based Big Data Authentication for Distributed Environments: An Analytical Study

Current Big Data authentication systems use Kerberos as their foundation. One example is Apache Hadoop. Replay attacks, distributed denial of service, and single point of failure are only a few of the unresolved security flaws affecting the Kerberos protocol. These issues highlight potential security holes in Hadoop and Big Data risks. To better secure distributed Big Data, this paper will examine the issues with Kerberos and provide solutions based on the identification of authentication needs. The nascent blockchain technology forms the basis of the proposed enhancement, which overcomes Kerberos's shortcomings. The paper introduces blockchain technology, discusses its trustworthy and secure distributed network design, and evaluates its usefulness in large data platforms for international trade. When comparing the two managers' performance under heavy data processing loads, the experimental results revealed that the decentralised manager performed better.