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Entropy-weight based Practical Byzantine Fault Tolerance consensus algorithm-driven privacy preserved data analytics

Publication Type : Conference Proceedings

Publisher : AIP Publishing

Source : AIP Conference Proceedings

Url : https://doi.org/10.1063/5.0275922

Campus : Nagercoil

School : School of Computing

Year : 2025

Abstract : The advanced technology Internet of Things (IoT) is emerging nowadays due to the interconnection of several smart devices. These are used in many real-time applications which utilize sensors to gather data. In order to safeguard and prevent unintentional destruction or deletion, backup copies or replication of the files are created. All organizations ought to comply with these three fundamental principles when it comes to data security such as reliability, accessibility, and authenticity. The data collected from these sensors are huge and most of the data are unstructured and some are structured data. To ensure the security of the blockchain our proposed approach utilizes an Entropy weighted-based Practical Byzantine Fault Tolerance based consensus algorithm for evaluation of the trust values of the blocks. Simulations are carried out in the Java platform and analyzed the parameters such as processing overhead, attack success rate, security analysis, packet overhead, encryption time, energy consumption, and performance percentage.

Cite this Research Publication : Haewon Byeon, P. Krishna Kumar, Shavalliuddin, D. David Neels Ponkumar, Entropy-weight based Practical Byzantine Fault Tolerance consensus algorithm-driven privacy preserved data analytics, AIP Conference Proceedings, AIP Publishing, 2025, https://doi.org/10.1063/5.0275922

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