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Cyber terrorist detection by using integration of Krill Herd and Simulated Annealing algorithms

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dc.FundingDetailsUniversiti Sains Islam Malaysia,�USIM: PPPI/UGC_0119/FST/051000/13519
dc.FundingDetailsACKNOWLEDGMENT 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.authorAhmad A.B.en_US
dc.contributor.authorSaudi M.M.en_US
dc.contributor.authorAlwi N.H.Men_US
dc.date.accessioned2024-05-29T02:01:04Z
dc.date.available2024-05-29T02:01:04Z
dc.date.issued2019
dc.description.abstractThis paper presents a technique to detect cyber terrorists suspected activities over the net by integrating the Krill Herd and Simulated Annealing algorithms. Three new level of categorizations, including low, high, and interleave have been introduced in this paper to optimize the accuracy rate. Two thousand datasets had been used for training and testing with 10-fold cross validation for this research and the simulations were performed using Matlab'. Based on the conducted experiment, this technique produced 73.01% accuracy rate for the interleave level; thus, outperforming the benchmark work. The findings can be used as a guidance and baseline work for other researchers with the same interest in this area. � 2018 The Science and Information (SAI) Organization Limited.en_US
dc.description.natureFinalen_US
dc.identifier.epage323
dc.identifier.issn2158107X
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85070101082
dc.identifier.spage317
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070101082&partnerID=40&md5=e14830eb2f6191af0f2295cea6d965f8
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10151
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherScience and Information Organizationen_US
dc.relation.ispartofInternational Journal of Advanced Computer Science and Applicationsen_US
dc.sourceScopus
dc.subjectCyber terroristsen_US
dc.subjectKrill Herden_US
dc.subjectSimulating annealingen_US
dc.subjectWeb content classificationen_US
dc.titleCyber terrorist detection by using integration of Krill Herd and Simulated Annealing algorithmsen_US
dc.title.alternativeIntl. J. Adv. Comput. Sci. Appl.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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