Computer and Knowledge Engineering (Dec 2023)

A Lightweighted Secure Scheme for Data ‎Aggregation in Large-Scale IoT-Based ‎Smart Grids ‎

  • Mohammad Javad Abdolmaleki,
  • Amanj Khorramian,
  • Mohammad Fathi

DOI
https://doi.org/10.22067/cke.2024.82734.1080
Journal volume & issue
Vol. 6, no. 2
pp. 57 – 66

Abstract

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With the emergence of IoT devices, data aggregation in the area of smart grids can be implemented based on IoT networks. However, the communication and computation resources of IoT devices are limited so it is not possible to apply conventional Internet protocols directly. On the other hand, gathering data of smart meters in the advanced metering infrastructure faces challenges such as privacy-preserving and heavy-loaded authentication and aggregation schemes. In this paper, we propose an improved lightweight, secure, and privacy-preserving scheme for aggregating data from smart meters in large-scale IoT-based smart grids. The proposed scheme adopts light-weight cryptography operations such as exclusive-OR, hash, and concatenation functions. In comparison with the schemes in the literature, the analysis and simulation results show that the proposed scheme satisfies the same security levels, while at the same time burdens lower computation and communication overheads. This observation makes the proposed scheme more suitable to be employed in large-scale and IoT-based smart grids for data aggregation.

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