- Title
- A framework for cyber-topology attacks: line-switching and new attack scenarios
- Creator
- Liang, Gaoqi; Weller, Steven R.; Zhao, Junhua; Luo, Fengji; Dong, Zhao Y.
- Relation
- IEEE Transactions on Smart Grid Vol. 10, Issue 2, p. 1704-1712
- Publisher Link
- http://dx.doi.org/10.1109/TSG.2017.2776325
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2019
- Description
- Cyber security of modern power systems has drawn increasing attention in recent years. This paper proposes a class of cyber-topology attacks derived from false data injection attacks (FDIAs), with the aim of disturbing the operation of power systems. Three kinds of cyber-topology attack are proposed: line-addition attack, line-removal attack, and line-switching attack. By directly misleading the decision-making process of the Independent System Operator (ISO), the proposed cyber-topology attack consequently affects the economic operation and security of the system. We establish optimal attack models for different cyber-topology attack scenarios, and use a recently proposed metaheuristic optimization algorithm (the Natural Aggregation Algorithm (NAA)) to solve the resulting attack models. Experiments based on the IEEE 39-node benchmark system show that the proposed class of attacks poses a significant threat to modern power systems.
- Subject
- cyber-topology attack; false data injection attack; electricity market; cyber security; line-switching attack
- Identifier
- http://hdl.handle.net/1959.13/1454250
- Identifier
- uon:44881
- Identifier
- ISSN:1949-3053
- Language
- eng
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