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A Review of Web Classifier Approach with Possible Research Direction to Detect Cyber Extremists

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dc.Conferencecode151992
dc.Conferencedate2 August 2019 through 3 August 2019
dc.Conferencename10th IEEE Control and System Graduate Research Colloquium, ICSGRC 2019
dc.FundingDetailsUniversiti Sains Islam Malaysia,�USIM: PPPI/UGC_0119/FST/051000/13519
dc.FundingDetailsV. ACKNOWLEDGMENT This research paper supported by the university Sains Islam Malaysia Grant PPPI/UGC_0119/FST/051000/13519.
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAl-Sukhni H.A.H.en_US
dc.contributor.authorSaudi M.M.en_US
dc.contributor.authorAhmad A.en_US
dc.date.accessioned2024-05-28T08:35:37Z
dc.date.available2024-05-28T08:35:37Z
dc.date.issued2019
dc.description.abstractThe internet is ever expanding and online information is booming, making identification and detection of different web information vitally important, particularly those of dark web or Cyber extremists. Webpages with extremist and terrorist content are believed to be main factors in the radicalization and recruitment of disaffected individuals who might be involved in terrorist activities at home or those who fight alongside terrorist groups abroad. In fact, the sheer volume of online data makes it practically impossible for authorities to carry out the individual examination for every webpage, post or conversational thread that might or might not be relevant to terrorism or contain terrorist sympathies. As terrorists exist within every nation and every religion, hence this paper presents a review and systematic analysis of existing webpages on Cyber Terrorists. This include of existing database of Cyber extremists words and existing techniques of web classifier for keywords. Based on this paper systematic analysis, it will be the input for the formation of a new Cyber extremists WorldNet. � 2019 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo8837077
dc.identifier.doi10.1109/ICSGRC.2019.8837077
dc.identifier.epage183
dc.identifier.isbn9781730000000
dc.identifier.scopus2-s2.0-85073265555
dc.identifier.spage178
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073265555&doi=10.1109%2fICSGRC.2019.8837077&partnerID=40&md5=0b6cc34ece67cf75cb43769f4164b7e8
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9130
dc.languageEnglish
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofICSGRC 2019 - 2019 IEEE 10th Control and System Graduate Research Colloquium, Proceeding
dc.sourceScopus
dc.subjectCyber terroristsen_US
dc.subjectSystematic review analysisen_US
dc.subjectWeb classifieren_US
dc.subjectWorldNeten_US
dc.subjectClassification (of information)en_US
dc.subjectWebsitesen_US
dc.subjectCyber terroristsen_US
dc.subjectOn-line informationen_US
dc.subjectSystematic analysisen_US
dc.subjectSystematic Reviewen_US
dc.subjectTerrorist activitiesen_US
dc.subjectTerrorist groupsen_US
dc.subjectWeb informationen_US
dc.subjectWorldNeten_US
dc.subjectTerrorismen_US
dc.titleA Review of Web Classifier Approach with Possible Research Direction to Detect Cyber Extremists
dc.typeConference Paperen_US
dspace.entity.typePublication

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