A Multi-Agent Adaptive Architecture for Smart-Grid-Intrusion Detection and Prevention

Tomasz Kisielewicz, Stanislaw Stanek and Mariusz Zytniewski
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Tomasz Kisielewicz: Electrical Department, Warsaw University of Technology, 00-661 Warszawa, Poland
Stanislaw Stanek: Management Department, General Tadeusz Kosciuszko Military University of Land Forces, 51-147 Wroclaw, Poland
Mariusz Zytniewski: Department of Informatics, University of Economics in Katowice, 40-287 Katowice, Poland

Energies, 2022, vol. 15, issue 13, 1-14

Abstract: The present paper deals with selected aspects of energy prosumers’ security needs. The analysis reported aim to illustrate the concept of the implementation of intrusion-detection systems (IDS)/intrusion-prevention systems (IPS), as supporting agent systems for smart grids. The contribution proposes the architecture of an agent system aimed at collecting, processing, monitoring, and possibly reacting to changes in the smart grid. Furthermore, an algorithm is proposed to support the construction of a smart-grid-operating profile, based on a set of parameters describing the devices. Its application is presented in the example of data collected from the network, indicating the process of building a device-operation profile and a possible mechanism for detecting its changes. The proposed algorithm for building the operating profile of devices in the smart grid, based on the mechanism of continuous learning by the system, allows for detecting network malfunctions not only in terms of individual events but also regarding limits of the scope of system alerts, by determining the typical behavior of devices in the smart grid. The paper gives recommendations to a software-agent system development, which is dedicated to detecting and preventing anomalies in smart grids.

Keywords: safety and security; intrusion detection/prevention systems; software multi-agent systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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