Affiliations: [a]
Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, India
| [b]
Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Correspondence:
[*]
Corresponding author. S. Muthulakshmi, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, India. E-mail: [email protected].
Abstract: Smart grid 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 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 work proposes a novel Data and Decision rules Secure Efficient Smart Grid (DDSESG) framework integrating secure compressive sensing technique with blockchain and interplanetary file system (IPFS) for securing both data and decision. Through experimental analysis, the proposed solution is found to provide higher resiliency against data security attacks at comparative 12.4% lower computation cost, 15% lower communication cost, 19.9% lower storage cost. Forecasting on transformed data in proposed solution had only a marginal 1.08 % difference in accuracy compared to forecasting on original data.
Keywords: Internet of things, blockchain, IPFS, smart grid, compressive sensing, transform coding
