Towards Robust Power Grid Attack Protection using LightGBM with Concept Drift Detection and Retraining

Anand Agrawal, Marios Sazos, Ahmed Al Durra, Michail Maniatakos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In existing literature, various machine learning models have been applied to detect cyber attacks on the power grid. None of them, however, consider the degradation of the model over time due to the distributed and dynamic nature of the power system. At the same time, they also fail to recognize natural events, such as line maintenance, since they are based on binary classification (attack/no attack). In an effort to develop a cyber security protection strategy that will work robustly for an extended period of time, we develop a methodology based on the LightGBM framework, which performs well for a) Training for multi-class events (no attack/natural event/attack), and b) Fast, dynamic retraining with concept drift detection. We use an ensemble learning-based classifier for classifying the events generated through our Real Time Digital Simulatorwith commercial devices in a Hardware-in-The-Loop setup. The proposed novel classification model outperforms binary classifier-based approaches, resulting in an over 97% effectiveness with the inclusion of concept drift detection and retraining.

Original languageEnglish (US)
Title of host publicationCPSIOTSEC 2020 - Proceedings of the 2020 Joint Workshop on CPS and IoT Security and Privacy
PublisherAssociation for Computing Machinery, Inc
Pages31-36
Number of pages6
ISBN (Electronic)9781450380874
DOIs
StatePublished - Nov 9 2020
Event2020 Joint Workshop on CPS and IoT Security and Privacy, CPSIOTSEC 2020 - Virtual, Online, United States
Duration: Nov 9 2020 → …

Publication series

NameCPSIOTSEC 2020 - Proceedings of the 2020 Joint Workshop on CPS and IoT Security and Privacy

Conference

Conference2020 Joint Workshop on CPS and IoT Security and Privacy, CPSIOTSEC 2020
CountryUnited States
CityVirtual, Online
Period11/9/20 → …

Keywords

  • concept drift
  • cyber attack
  • hardware-in-The-loop
  • lightgbm
  • power grid

ASJC Scopus subject areas

  • Computer Networks and Communications

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