| Summary: | This research presents a cost-effective approach toward an enhancement of Blockchain consensus targeting enhanced data security and privacy in the Industry 4.0 scenario by incorporating an enhanced reputation score at a cost-effective approach. Cellular Automata (CAs)-based PageRank validation (i.e., an extended PageRank) algorithm is incorporated towards consensus design in Blockchain Trilemma to facilitate cost-effectiveness in Industry 4.0 scenario. A detailed investigation is carried out to explore the true potential for CAs-based PageRank validation towards computation of Reputation score in Blockchain Trilemma. Further investigations and experimental analysis for the proposed approach towards computation of Reputation scores explore the efficiency of the proposed CAs-based PageRank validation-based approach over several existing approaches e.g., PageRank, NCDawareRank, and HodgeRank-based approaches. Additionally, energy efficiency in the proposed approach is ensured as low-energy consumption may be achieved with CAs-based physical modeling.
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