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Article: Collaborative internet worm containment

TitleCollaborative internet worm containment
Authors
KeywordsComputers
Computer security
Issue Date2005
PublisherI E E E, Computer Society. The Journal's web site is located at http://www.computer.org/security/
Citation
Ieee Security And Privacy, 2005, v. 3 n. 3, p. 25-33 How to Cite?
AbstractLarge-scale worm outbrakes that leads to distributed denial-of-dervice attacks pose a major threat to internet infrastructure security. To prevent computers from such attacks deployment of fast, scalable security overlay networks based on distributed hash tables to facilitate high-speed intrusion detection and alert-information exchange are proposed. An effective system for worm detection and cyberspace defence must have robustness, cooperation among multiple sites, responsiveness to unexpected worms and efficiency and scalability. Deployment of collaborative WormShield monitors on just 1 percent of the vulnerable edge networks can detect worm signatures roughly 10 times faster than with independent monitors.
Persistent Identifierhttp://hdl.handle.net/10722/44726
ISSN
2021 Impact Factor: 3.105
2020 SCImago Journal Rankings: 0.530
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCai, Men_HK
dc.contributor.authorHwang, Ken_HK
dc.contributor.authorKwok, YKen_HK
dc.contributor.authorSong, Sen_HK
dc.contributor.authorChen, Yen_HK
dc.date.accessioned2007-10-30T06:08:52Z-
dc.date.available2007-10-30T06:08:52Z-
dc.date.issued2005en_HK
dc.identifier.citationIeee Security And Privacy, 2005, v. 3 n. 3, p. 25-33en_HK
dc.identifier.issn1540-7993en_HK
dc.identifier.urihttp://hdl.handle.net/10722/44726-
dc.description.abstractLarge-scale worm outbrakes that leads to distributed denial-of-dervice attacks pose a major threat to internet infrastructure security. To prevent computers from such attacks deployment of fast, scalable security overlay networks based on distributed hash tables to facilitate high-speed intrusion detection and alert-information exchange are proposed. An effective system for worm detection and cyberspace defence must have robustness, cooperation among multiple sites, responsiveness to unexpected worms and efficiency and scalability. Deployment of collaborative WormShield monitors on just 1 percent of the vulnerable edge networks can detect worm signatures roughly 10 times faster than with independent monitors.en_HK
dc.format.extent452586 bytes-
dc.format.extent2151 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherI E E E, Computer Society. The Journal's web site is located at http://www.computer.org/security/en_HK
dc.relation.ispartofIEEE Security and Privacyen_HK
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectComputersen_HK
dc.subjectComputer securityen_HK
dc.titleCollaborative internet worm containmenten_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1540-7993&volume=3&issue=3&spage=25&epage=33&date=2005&atitle=Collaborative+Internet+worm+containmenten_HK
dc.identifier.emailKwok, YK:ykwok@eee.hku.hken_HK
dc.identifier.authorityKwok, YK=rp00128en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/MSP.2005.63en_HK
dc.identifier.scopuseid_2-s2.0-20844436808en_HK
dc.identifier.hkuros105728-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-20844436808&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3en_HK
dc.identifier.issue3en_HK
dc.identifier.spage25en_HK
dc.identifier.epage33en_HK
dc.identifier.isiWOS:000229410500006-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCai, M=7202863417en_HK
dc.identifier.scopusauthoridHwang, K=7402426691en_HK
dc.identifier.scopusauthoridKwok, YK=7101857718en_HK
dc.identifier.scopusauthoridSong, S=8875389000en_HK
dc.identifier.scopusauthoridChen, Y=7601429477en_HK
dc.identifier.issnl1540-7993-

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