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POSTER: Adaptive moving target defense: Enhancing dynamic perturbation through voltage sensitivity analysis in power systems

Nafees, Muhammad Nouman, Saxena, Neetesh ORCID: https://orcid.org/0000-0002-6437-0807 and Burnap, Peter ORCID: https://orcid.org/0000-0003-0396-633X 2023. POSTER: Adaptive moving target defense: Enhancing dynamic perturbation through voltage sensitivity analysis in power systems. Presented at: 21st International Conference on Applied Cryptography and Network Security (ACNS 2023), Kyoto, Japan, 19-22 June 2023. Proceedings of the 21st International Conference on Applied Cryptography and Network Security (ACNS 2023). Lecture Notes in Computer Science , vol.13907 Springer, pp. 700-704. 10.1007/978-3-031-41181-6_43

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Abstract

Moving target defense (MTD) strategies significantly protect power systems against stealthy false data injection attacks. However, traditional MTD approaches in power systems predominantly focus on single-parameter perturbation, leaving gaps in addressing the complexity and unpredictability of attack surfaces. In this work, we present a novel MTD strategy that departs from the traditional approach and utilizes multiple parameter perturbations to enhance the resilience of power systems against cyber threats while ensuring system stability. Our contributions include investigating the impact of individual and combined parameter perturbations on power system stability and performance, utilizing voltage sensitivity analysis to identify critical parameters, and considering the trade-offs between system security and operational constraints. The proposed algorithm dynamically perturbs the selected parameters, incorporating insights from the power flow Jacobian matrix analysis, and continuously adapts the MTD strategy based on the obtained results.

Item Type: Conference or Workshop Item - published (Poster)
Date Type: Publication
Status: Published
Schools: Schools > Computer Science & Informatics
Publisher: Springer
ISBN: 9783031411809
Date of First Compliant Deposit: 12 August 2024
Date of Acceptance: 30 April 2023
Last Modified: 25 Aug 2026 22:45
URI: https://orca.cardiff.ac.uk/id/eprint/159138

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