Mitigating Data Tampering in Smart Grids Through Community Blockchain-Driven Traceability Frameworks

Abstract

The growing integration of smart grids into modern power networks has generated concerns about the privacy and reliability of energy data. Unauthorized alteration or manipulation of vital data, or data tampering, poses serious risks to the dependability and security of smart grid operations. Nevertheless, there are still insufficient thorough frameworks that successfully handle data tracing and tampering prevention in the setting of smart grids. Study examines a community blockchain-based traceability architecture to reduce data tampering in smart grids. Study utilized a multi-layered architecture that includes blockchain consensus techniques to assure the integrity and traceability of data transmitted across smart grid components. The system uses real-time monitoring and secure distributed database systems to track energy data as it flows from generation to consumption. Article uses the combination of that combines consensus processes like Proof of Stake (PoS) and Proof of Authority (PoA) to balance security and performance. The findings show that the suggested framework improves the accuracy of data verification while lowering latency and computational expenses. Therefore, the community blockchain-driven traceability framework provides a strong solution to resist data tampering in smart grids, helping to create more secure and trustworthy energy systems.