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Conference Paper: Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques

TitleDetecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques
Authors
Wang, JTu, WHui, LCKYiu, SMWang, EK
Issue Date2017
PublisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1000213
Citation
Proceedings of 2017 IEEE 37th International Conference on Distributed Computing Systems, Atlanta, GA, USA, 5-8 June 2017, p. 2246-2251 How to Cite?
DOI: http://dx.doi.org/10.1109/ICDCS.2017.25
Persistent Identifierhttp://hdl.handle.net/10722/247687
ISSN
1063-6927
2020 SCImago Journal Rankings: 0.602
ISI Accession Number ID
WOS:000412759500228

 

DC FieldValueLanguage
dc.contributor.authorWang, J-
dc.contributor.authorTu, W-
dc.contributor.authorHui, LCK-
dc.contributor.authorYiu, SM-
dc.contributor.authorWang, EK-
dc.date.accessioned2017-10-18T08:31:02Z-
dc.date.available2017-10-18T08:31:02Z-
dc.date.issued2017-
dc.identifier.citationProceedings of 2017 IEEE 37th International Conference on Distributed Computing Systems, Atlanta, GA, USA, 5-8 June 2017, p. 2246-2251-
dc.identifier.issn1063-6927-
dc.identifier.urihttp://hdl.handle.net/10722/247687-
dc.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1000213-
dc.relation.ispartofInternational Conference on Distributed Computing Systems Proceedings-
dc.rightsInternational Conference on Distributed Computing Systems Proceedings. Copyright © IEEE, Computer Society.-
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleDetecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques-
dc.typeConference_Paper-
dc.identifier.emailHui, LCK: hui@cs.hku.hk-
dc.identifier.emailYiu, SM: smyiu@cs.hku.hk-
dc.identifier.authorityHui, LCK=rp00120-
dc.identifier.authorityYiu, SM=rp00207-
dc.identifier.doi10.1109/ICDCS.2017.25-
dc.identifier.scopuseid_2-s2.0-85027279937-
dc.identifier.hkuros280002-
dc.identifier.spage2246-
dc.identifier.epage2251-
dc.identifier.isiWOS:000412759500228-
dc.publisher.placeUnited States-
dc.identifier.issnl1063-6927-

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