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 language | English |
|---|---|
| Pages (from-to) | 712-715 |
| Number of pages | 4 |
| Journal | IEEE Systems Journal |
| Volume | 19 |
| Issue number | 2 |
| Early online date | 9 Apr 2025 |
| DOIs | |
| Publication status | Published - 9 Aug 2025 |
Funding
This work was supported in part by the Commonwealth Scholarship Commission (CSC) funded by the UK Foreign, Commonwealth & Development Office under Grant INCN-2023-135 and in part by the Supergen Energy Networks Impact Hub 2023 funded by the Engineering and Physical Sciences Research Council (EPSRC), UK, under Grant EP/Y016114/2.
| Funders | Funder number |
|---|---|
| Commonwealth Scholarship Commission | |
| Foreign, Commonwealth and Development Office | INCN-2023-135 |
| Engineering and Physical Sciences Research Council | EP/Y016114/2 |
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