Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61855Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Fei | en |
| dc.contributor.author | Zhang, Haoxi | en |
| dc.contributor.author | Wang, Juan | en |
| dc.contributor.author | Liu, Yong | en |
| dc.contributor.author | Gao, Lulu | en |
| dc.contributor.author | Xu, Xiang | en |
| dc.contributor.author | Sanin, Cesar | en |
| dc.contributor.author | Szczerbicki, Edward | en |
| dc.date.accessioned | 2024-07-29T05:13:01Z | - |
| dc.date.available | 2024-07-29T05:13:01Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Cybernetics and Systems, 49(5-6), p. 412-419 | en |
| dc.identifier.issn | 1087-6553 | en |
| dc.identifier.issn | 0196-9722 | en |
| dc.identifier.uri | https://hdl.handle.net/1959.11/61855 | - |
| dc.description.abstract | <p>In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands based on learning from past valid driving behavior data on a simulator.</p> | en |
| dc.language | en | en |
| dc.publisher | Taylor & Francis Inc | en |
| dc.relation.ispartof | Cybernetics and Systems | en |
| dc.title | Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA | en |
| dc.type | Journal Article | en |
| dc.identifier.doi | 10.1080/01969722.2017.1418788 | en |
| local.contributor.firstname | Fei | en |
| local.contributor.firstname | Haoxi | en |
| local.contributor.firstname | Juan | en |
| local.contributor.firstname | Yong | en |
| local.contributor.firstname | Lulu | en |
| local.contributor.firstname | Xiang | en |
| local.contributor.firstname | Cesar | en |
| local.contributor.firstname | Edward | en |
| local.profile.school | School of Science and Technology | en |
| local.profile.email | cmaldon3@une.edu.au | en |
| local.output.category | C1 | en |
| local.record.place | au | en |
| local.record.institution | University of New England | en |
| local.publisher.place | United States of America | en |
| local.format.startpage | 412 | en |
| local.format.endpage | 419 | en |
| local.peerreviewed | Yes | en |
| local.identifier.volume | 49 | en |
| local.identifier.issue | 5-6 | en |
| local.contributor.lastname | Li | en |
| local.contributor.lastname | Zhang | en |
| local.contributor.lastname | Wang | en |
| local.contributor.lastname | Liu | en |
| local.contributor.lastname | Gao | en |
| local.contributor.lastname | Xu | en |
| local.contributor.lastname | Sanin | en |
| local.contributor.lastname | Szczerbicki | en |
| dc.identifier.staff | une-id:cmaldon3 | en |
| local.profile.orcid | 0000-0001-8515-417X | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.profile.role | author | en |
| local.identifier.unepublicationid | une:1959.11/61855 | en |
| local.date.onlineversion | 2018-02-12 | - |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| dc.identifier.academiclevel | Academic | en |
| local.title.maintitle | Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA | en |
| local.relation.fundingsourcenote | This work was supported by the Scientific Research Foundation of Sichuan Province as a part of the Project 2016GZ0343. | en |
| local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
| local.search.author | Li, Fei | en |
| local.search.author | Zhang, Haoxi | en |
| local.search.author | Wang, Juan | en |
| local.search.author | Liu, Yong | en |
| local.search.author | Gao, Lulu | en |
| local.search.author | Xu, Xiang | en |
| local.search.author | Sanin, Cesar | en |
| local.search.author | Szczerbicki, Edward | en |
| local.uneassociation | No | en |
| local.atsiresearch | No | en |
| local.sensitive.cultural | No | en |
| local.year.available | 2018 | en |
| local.year.published | 2018 | en |
| local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/c0826ec8-9c54-4d8c-82bf-595f76e75246 | en |
| local.subject.for2020 | 4602 Artificial intelligence | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.profile.affiliationtype | External Affiliation | en |
| local.date.moved | 2024-08-01 | en |
| Appears in Collections: | Journal Article School of Science and Technology | |
Files in This Item:
| File | Size | Format |
|---|
SCOPUSTM
Citations
7
checked on Nov 23, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.