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Conference Paper: Extended abstract: Anti-DDoS technique using self-learning bloom filter

TitleExtended abstract: Anti-DDoS technique using self-learning bloom filter
Authors
KeywordsBloom filter
DDoS
feature selection
light-weight DDoS solution
machine learning
packet filtering
packet profiling
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001810
Citation
Proceedings of 2017 IEEE International Conference on Intelligence and Security Informatics (ISI), Beijing, China, 22-24 July 2017, p. 204 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/247693

 

DC FieldValueLanguage
dc.contributor.authorTseung, CY-
dc.contributor.authorChow, KP-
dc.contributor.authorZhang, X-
dc.date.accessioned2017-10-18T08:31:08Z-
dc.date.available2017-10-18T08:31:08Z-
dc.date.issued2017-
dc.identifier.citationProceedings of 2017 IEEE International Conference on Intelligence and Security Informatics (ISI), Beijing, China, 22-24 July 2017, p. 204-
dc.identifier.urihttp://hdl.handle.net/10722/247693-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001810-
dc.relation.ispartofIEEE International Conference on Intelligence and Security Informatics (ISI)-
dc.rightsIEEE International Conference on Intelligence and Security Informatics (ISI). Copyright © IEEE.-
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.subjectBloom filter-
dc.subjectDDoS-
dc.subjectfeature selection-
dc.subjectlight-weight DDoS solution-
dc.subjectmachine learning-
dc.subjectpacket filtering-
dc.subjectpacket profiling-
dc.titleExtended abstract: Anti-DDoS technique using self-learning bloom filter-
dc.typeConference_Paper-
dc.identifier.emailChow, KP: kpchow@hkucc.hku.hk-
dc.identifier.authorityChow, KP=rp00111-
dc.identifier.doi10.1109/ISI.2017.8004917-
dc.identifier.scopuseid_2-s2.0-85030262592-
dc.identifier.hkuros282234-
dc.identifier.spage204-
dc.identifier.epage204-
dc.publisher.placeUnited States-

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