Modeling and Mitigating Billing Attacks in Scalable Smart Grids with Distributed and Intelligent Systems

Abdelfattah Abassi (), Mostapha El Jai (), Ahmed Arid () and Hussain Benazza ()
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Abdelfattah Abassi: Mouly Ismail University
Mostapha El Jai: Euromed University of Fes (UEMF)
Ahmed Arid: Mouly Ismail University
Hussain Benazza: Mouly Ismail University

SN Operations Research Forum, 2025, vol. 6, issue 1, 1-34

Abstract: Abstract With the expansion of smart grids, maintenance and control costs have grown significantly. For this reason, some innovative strategies have been implemented to strengthen the control within the grid. Among these strategies, the implementation of distributed models coupled to intelligent billing systems is of high interest; it aims at achieving optimality in the system while maintaining billing fairness. Despite the advantages offered by smart grid’s paradigm, it still shows weaknesses in terms of theft and users’ fraudulence behavior detections. That is to say, the present paper focusses on three types of attacks, mainly existing in the literature, that malicious users can exploit to minimize their personal bills along with the development of related technique to troubleshot and solve such issues. Simulations and mathematical models are proposed to model these attacks, along with a mitigation strategy that has been developed.

Keywords: Smart grids; Security; Detection techniques for electricity theft; Electricity thieves; Billing mechanism (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s43069-025-00414-3

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