Abstract
Smart grid (SG) is proposed as a solution to the problems of production, distribution, monitoring, and control of the electricity in traditional power grids. Smart grid networks place Internet of Things (IoT) sensor nodes at various grid lines and collect large volume of data about power flow, usage, etc. The collected data are analyzed for various applications like demand forecasting, fault diagnosis and fault prediction, etc. The sensor nodes and the communication links can be compromised affecting the privacy of consumers. False data can be propagated with malicious intentions. This work proposes a secure and privacy-preserving framework for smart grid IoT networks to secure the data and decision at sensor nodes and communication links. The privacy-preserving framework proposes a novel secure compressive sensing technique to secure the data and integrated blockchain with interplanetary file system (IPFS) authenticated decision rules for storage and retrieval. Blockchain is a distributed-ledger technology that records transactions in chronological sequence and does not allow for any modifications. The technology is popular because of its robust features. Use of blockchain provides irrefutable tamper proof storage for the transactions. IPFS is used due to its higher computation time for storing the data. Through experimental study, it was discovered that the suggested method offers greater resilience against data security assaults at comparative savings of 12.4% on computing, 15% on communication, and 19.9% on storage. Forecasting using altered data in the suggested approach only slightly differed in accuracy from forecasting using original data by 1.08%.

















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The dataset used for this work is mentioned in the references section as [26].
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Muthulakshmi, S., Chitra, R. Interplanetary file system and blockchain for secured smart grid networks. J Supercomput 80, 5900–5922 (2024). https://doi.org/10.1007/s11227-023-05680-8
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DOI: https://doi.org/10.1007/s11227-023-05680-8