Publication:
Defending worms attack through EDOWA system

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dc.Conferencecode74115
dc.Conferencedate26 August 2008 through 29 August 2008
dc.ConferencelocationKuala Lumpur
dc.ConferencenameInternational Symposium on Information Technology 2008, ITSim
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorSaudi M.M.en_US
dc.contributor.authorTamil E.M.en_US
dc.contributor.authorIdris M.Y.I.en_US
dc.contributor.authorSeman K.en_US
dc.contributor.authorNasir L.M.en_US
dc.date.accessioned2024-05-29T01:55:16Z
dc.date.available2024-05-29T01:55:16Z
dc.date.issued2008
dc.description.abstractEDOWA system is a system that is capable to detect worm efficiently and provide an early warning to the system administrator. Worms are a major threat to Internet-connected hosts and networks and their nature of widespread epidemic spread needed to be detected quickly in order to contain its outbreak. In EDOWA, the frequency of network packet will be observed by the system. The wide spreading nature of worm will cause the network packet to be transfer massively over the network and cause the substantial increase in frequency. The threshold that detects the worm activity pattern will adjust accordingly to the increase of network traffic to accommodate high speed large network traffic. By having this threshold adjust accordingly, it will increase worm detection efficiency. With fuzzy logic, the degree of urgency of a warning can be defined. � 2008 IEEE.
dc.description.natureFinalen_US
dc.description.sponsorshipIEEE
dc.identifier.ArtNo4631567
dc.identifier.doi10.1109/ITSIM.2008.4631567
dc.identifier.isbn9781420000000
dc.identifier.scopus2-s2.0-57349137828
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349137828&doi=10.1109%2fITSIM.2008.4631567&partnerID=40&md5=71d26e19c6ce4df3a9a563c1fd9cc619
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9667
dc.identifier.volume1
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofProceedings - International Symposium on Information Technology 2008, ITSim
dc.sourceScopus
dc.subjectFuzzy logicen_US
dc.subjectInformation technologyen_US
dc.subjectInterneten_US
dc.subjectActivity patternsen_US
dc.subjectEarly warningsen_US
dc.subjectEpidemic spreadsen_US
dc.subjectHigh speedsen_US
dc.subjectLarge networksen_US
dc.subjectNetwork packetsen_US
dc.subjectNetwork trafficsen_US
dc.subjectSystem administratorsen_US
dc.subjectWorm detectionsen_US
dc.subjectComputer crimeen_US
dc.titleDefending worms attack through EDOWA system
dc.typeConference Paperen_US
dspace.entity.typePublication

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