Real-Time Detection of Cyber-Attacks in Modern Power Grids with Uncertainty using Deep Learning

Mostafa Mohammadpourfard, Fateme Ghanaatpishe, Yang Weng, Istemihan Genc, Mehmet Tahir Sandikkaya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The smart grid, which is critical for developing smart cities, has a tool called state estimation (SE), which enables operators to monitor the system's stability. While the SE result is significant for future control operations, its reliability is strongly dependent on the data integrity of the information obtained from the dispersed measuring devices. However, the dependence on communication technology renders smart grids vulnerable to advanced data integrity attacks, presenting significant concerns to the overall reliability of SE. Among these attacks, the false data-injection attack (FDIA) is gaining popularity owing to its potential to disrupt network operations without being discovered by bad data detection (BDD) methods. Existing countermeasures are limited in their ability to cope with sudden physical changes in the smart grid, such as line outages, due to their development for a certain system specifications. Therefore, the purpose of this paper is to develop an attack detection scheme to find cyber-attacks in smart grids that are influenced by contingencies. In particular, a detection framework based on long short-term memory (LSTM) is proposed to discern electrical topology change in smart grids from real-time FDIAs. Results show that the developed framework surpasses the present techniques.

Original languageEnglish
Title of host publicationSEST 2022 - 5th International Conference on Smart Energy Systems and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665405577
DOIs
Publication statusPublished - 2022
Event5th International Conference on Smart Energy Systems and Technologies, SEST 2022 - Eindhoven, Netherlands
Duration: 5 Sept 20227 Sept 2022

Publication series

NameSEST 2022 - 5th International Conference on Smart Energy Systems and Technologies

Conference

Conference5th International Conference on Smart Energy Systems and Technologies, SEST 2022
Country/TerritoryNetherlands
CityEindhoven
Period5/09/227/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

This work was supported by TUBITAK and European Commission Horizon 2020 Marie Sklodowska-Curie Actions Cofund program (Project Number: 120C080) This work was supported by TÜB˙TAK and European Commission Horizon 2020 Marie Skłodowska-Curie Actions Cofund program (Project Number: 120C080).

FundersFunder number
European Commission Horizon 2020
European Commission Horizon 2020 Marie Skłodowska-Curie Actions120C080
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

    Keywords

    • Cybersecurity
    • deep learning
    • smart grid
    • topology changes

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