Enhancing the Stealth of Load Redistribution Attacks: A Novel Cluster-Driven Approach

Rohini Haridas, Chenghong Gu, Satish Sharma, Rohit Bhakar

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Abstract

This letter proposes a novel cluster-driven bilevel Load Redistribution (LR) attack model in cyber physical power systems. The main goal is on overloading multiple transmission lines while maintaining a high level of stealth. The proposed model employs cluster-based approach to form distinct clusters, each representing different load patterns within the power system. This enables the design of attack vectors that seamlessly blend with these load patterns, thereby challenging advanced anomaly detection systems. The stealth of the attack is quantified by the Stealth Distance Index (SDI), ensuring that injected false data remain within the maximum permissible distance from the centroid of its corresponding cluster. The proposed model is validated on the modified IEEE 14-bus and 30-bus systems, demonstrating enhanced stealth capabilities in LR attacks.

Original languageEnglish
Pages (from-to)1-4
JournalIEEE Systems Journal
Early online date9 Apr 2025
DOIs
Publication statusE-pub ahead of print - 9 Apr 2025

Keywords

  • Cyber physical power systems
  • K-means clustering
  • lines overloading
  • Load Redistribution (LR) attacks
  • stealth enhancement

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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