A survey of anomaly detection methods for power grids

The power grid is a constant target for attacks as they have the potential to affect a large geographical location, thus affecting hundreds of thousands of customers. With the advent of wireless sensor networks in the smart grids, the distributed network has more vulnerabilities than before, giving...

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Bibliographic Details
Published in:International journal of information security 2023-12, Vol.22 (6), p.1799-1832
Main Authors: Madabhushi, Srinidhi, Dewri, Rinku
Format: Article
Language:English
Subjects:
Access control
Anomalies
Coding and Information Theory
Communications Engineering
Computer Communication Networks
Computer networks
Computer Science
Cryptology
Cybersecurity
Geographical locations
Management of Computing and Information Systems
Networks
Operating Systems
Regular Contribution
Smart grid
Wireless networks
Wireless sensor networks
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Summary:The power grid is a constant target for attacks as they have the potential to affect a large geographical location, thus affecting hundreds of thousands of customers. With the advent of wireless sensor networks in the smart grids, the distributed network has more vulnerabilities than before, giving numerous entry points for an attacker. The power grid operation is usually not hindered by small-scale attacks; it is popularly known to be self-healing and recovers from an attack as the neighboring areas can mitigate the loss and prevent cascading failures. However, the attackers could target users, admins and other control personnel, disabling access to their systems and causing a delay in the required action to be taken. Termed as the biggest machine in the world, the US power grid has only been having an increased risk of outages due to cyber attacks. This work focuses on structuring the attack detection literature in power grids and provides a systematic review and insights into the work done in the past decade in the area of anomaly or attack detection in the domain.
ISSN:1615-5262
1615-5270
DOI:10.1007/s10207-023-00720-z