Ontology-based Approach for Malicious Behaviour Detection in Synchrophasor Networks

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Abstract

Synchrophasor systems are becoming a vital requirement for real-time monitoring, control and protection of emerging Smart Grids that need cyber security issues be carefully analysed and mitigated. This paper proposes a behaviour based ontology on the Syncrophasor communications for the detection of malicious system behaviours. Syncrophasor activities are represented with their causal relationships using a flexible semantic model. The developed model bridges the gap between system behaviours and the exchanged data and commands in the network. A set of semantic rules are created to assist in identifying malicious activities that are deviating from the
expected behaviour in the model. The proposed approach is prototyped and tested for its applicability in detecting cyber-attacks. Furthermore, a use case for valuable information extraction is described using query-based engine over the ontology knowledge. The presented results demonstrate the usefulness and flexibility of the proposed approach in detecting malicious activities that could improve Syncrophasor network security.
Original languageEnglish
Title of host publicationProceedings of Power and Energy Society General Meeting (PESGM), 2017
Publisher IEEE
Pages1-5
DOIs
Publication statusPublished - 01 Feb 2018
EventIEEE Power and Energy Society General Meeting - Chicago, United States
Duration: 16 Jul 201720 Jul 2017
http://pes-gm.org/2017/
http://pes-gm.org/2017/

Conference

ConferenceIEEE Power and Energy Society General Meeting
Abbreviated titleIEEE PES-GM 2017
CountryUnited States
CityChicago
Period16/07/201720/07/2017
Internet address

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Cite this

Albalushi, A., Khan, R., McLaughlin, K., & Sezer, S. (2018). Ontology-based Approach for Malicious Behaviour Detection in Synchrophasor Networks. In Proceedings of Power and Energy Society General Meeting (PESGM), 2017 (pp. 1-5). IEEE . https://doi.org/10.1109/PESGM.2017.8274684