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Article: A Fog‐based Collaborative Intrusion Detection Framework For Smart Grid

TitleA Fog‐based Collaborative Intrusion Detection Framework For Smart Grid
Authors
Issue Date2021
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/5703
Citation
International Journal of Network Management, 2021, v. 31 n. 2, p. article no. e2107 How to Cite?
AbstractWith the rapid development of information and communication technologies (ICTs), the conventional electrical grid is evolving towards an intelligent smart grid. Due to the complexity, how to protect the security of smart grid environments still remains a practical challenge. Currently, collaborative intrusion detection systems (CIDSs) are one important solution to help identify various security threats, through allowing various IDS nodes to exchange data and information. However, with the increasing adoption of ICT in smart grid, cloud computing is often deployed in order to reduce the storage burden locally. However, due to the distance between grid and cloud, it is critical for smart grid to ensure the timely response to any accidents. In this work, we review existing collaborative detection mechanisms and introduce a fog-based CIDS framework to enhance the detection efficiency. The results show that our approach can improved the detection efficiency by around 21% to 45% based on the concrete attacking scenarios.
Persistent Identifierhttp://hdl.handle.net/10722/305589
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 0.599
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, W-
dc.contributor.authorAu, MH-
dc.contributor.authorWang, Y-
dc.date.accessioned2021-10-20T10:11:32Z-
dc.date.available2021-10-20T10:11:32Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Network Management, 2021, v. 31 n. 2, p. article no. e2107-
dc.identifier.issn1055-7148-
dc.identifier.urihttp://hdl.handle.net/10722/305589-
dc.description.abstractWith the rapid development of information and communication technologies (ICTs), the conventional electrical grid is evolving towards an intelligent smart grid. Due to the complexity, how to protect the security of smart grid environments still remains a practical challenge. Currently, collaborative intrusion detection systems (CIDSs) are one important solution to help identify various security threats, through allowing various IDS nodes to exchange data and information. However, with the increasing adoption of ICT in smart grid, cloud computing is often deployed in order to reduce the storage burden locally. However, due to the distance between grid and cloud, it is critical for smart grid to ensure the timely response to any accidents. In this work, we review existing collaborative detection mechanisms and introduce a fog-based CIDS framework to enhance the detection efficiency. The results show that our approach can improved the detection efficiency by around 21% to 45% based on the concrete attacking scenarios.-
dc.languageeng-
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/5703-
dc.relation.ispartofInternational Journal of Network Management-
dc.rightsSubmitted (preprint) Version This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Accepted (peer-reviewed) Version This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.titleA Fog‐based Collaborative Intrusion Detection Framework For Smart Grid-
dc.typeArticle-
dc.identifier.emailAu, MH: manhoau@hku.hk-
dc.identifier.authorityAu, MH=rp02638-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/nem.2107-
dc.identifier.scopuseid_2-s2.0-85081377003-
dc.identifier.hkuros327866-
dc.identifier.volume31-
dc.identifier.issue2-
dc.identifier.spagearticle no. e2107-
dc.identifier.epagearticle no. e2107-
dc.identifier.isiWOS:000563049500001-
dc.publisher.placeUnited Kingdom-

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