Mitigating Data Tampering in Smart Grids Through Community Blockchain Driven Traceability Frameworks
Gayathri Ananthakrishnan
Department of Information Technology, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Data integrity in Smart Grids (SG) systems can be vulnerable with the implementation of the novel Community Blockchain-Driven Traceability Framework (CBDTF). It enhances Detection Rates (DR), maintains low End-to-End Delay (EED), and uses less energy by using distributed ledger technology and community-based validation. This model deployed a Delegated Proof of Stake (DPoS) consensus mechanism and community-driven testing, resulting in an average Detection Rate (DR) of 98.7% for Data Tampering attacks and a False Positive Rate (FPR) of 1.78%. It outperforms conventional Blockchain (BC) solutions with an EED of 120.8 ms and an average CPU utilization of 1,113 tx/kWh. When compared with conventional Proof-of-Work (PoW), CBDTF requires 60% less energy while proving 96.2% consensus resilience against distinct attacks. Applying real-world SG data collected by a distributed network of 100 nodes, the accuracy of this model was tested. The present study makes a valuable contribution to the field by signifying how BC platforms driven by the public can address SG's data security issues while maintaining the accuracy of real-time operations.
Keywords
Smart Grids, Data Tampering, Blockchain, Data Integrity, Attacks, Security.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Gayathri Ananthakrishnan, Sudhakar Sengan, Mohanraj E, Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B;
Methodology: Gayathri Ananthakrishnan, Sudhakar Sengan and Mohanraj E;
Writing- Original Draft Preparation: Gayathri Ananthakrishnan, Sudhakar Sengan, Mohanraj E, Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B;
Visualization: Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B;
Investigation: Gayathri Ananthakrishnan, Sudhakar Sengan and Mohanraj E;
Supervision: Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B;
Validation: Gayathri Ananthakrishnan, Sudhakar Sengan and Mohanraj E;
Writing- Reviewing and Editing: Gayathri Ananthakrishnan, Sudhakar Sengan, Mohanraj E, Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B; All authors reviewed the results and approved the final version of the manuscript.
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The authors would like to thank to the reviewers for nice comments on the manuscript.
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Gayathri Ananthakrishnan
Department of Information Technology, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
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Cite this article
Gayathri Ananthakrishnan, Sudhakar Sengan, Mohanraj E, Thirumoorthy Palanisamy, Veeramallu B and Srinivasarao B, “Mitigating Data Tampering in Smart Grids Through Community Blockchain Driven Traceability Frameworks”, Journal of Machine and Computing, vol.5, no.3, pp. 1745-1762, July 2025, doi: 10.53759/7669/jmc202505138.
