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- Publisher Website: 10.1002/nem.2107
- Scopus: eid_2-s2.0-85081377003
- WOS: WOS:000563049500001
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Article: A Fog‐based Collaborative Intrusion Detection Framework For Smart Grid
Title | A Fog‐based Collaborative Intrusion Detection Framework For Smart Grid |
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Authors | |
Issue Date | 2021 |
Publisher | John 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? |
Abstract | With 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 Identifier | http://hdl.handle.net/10722/305589 |
ISSN | 2023 Impact Factor: 1.5 2023 SCImago Journal Rankings: 0.599 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, W | - |
dc.contributor.author | Au, MH | - |
dc.contributor.author | Wang, Y | - |
dc.date.accessioned | 2021-10-20T10:11:32Z | - |
dc.date.available | 2021-10-20T10:11:32Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | International Journal of Network Management, 2021, v. 31 n. 2, p. article no. e2107 | - |
dc.identifier.issn | 1055-7148 | - |
dc.identifier.uri | http://hdl.handle.net/10722/305589 | - |
dc.description.abstract | With 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.language | eng | - |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/5703 | - |
dc.relation.ispartof | International Journal of Network Management | - |
dc.rights | Submitted (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.title | A Fog‐based Collaborative Intrusion Detection Framework For Smart Grid | - |
dc.type | Article | - |
dc.identifier.email | Au, MH: manhoau@hku.hk | - |
dc.identifier.authority | Au, MH=rp02638 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/nem.2107 | - |
dc.identifier.scopus | eid_2-s2.0-85081377003 | - |
dc.identifier.hkuros | 327866 | - |
dc.identifier.volume | 31 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | article no. e2107 | - |
dc.identifier.epage | article no. e2107 | - |
dc.identifier.isi | WOS:000563049500001 | - |
dc.publisher.place | United Kingdom | - |