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Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents

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dc.contributor.authorMusa N.A.en_US
dc.contributor.authorYusoff M.Z.M.en_US
dc.contributor.authorYusoff Y.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorid56728044600en_US
dc.contributor.authorid22636590200en_US
dc.contributor.authorid56921898900en_US
dc.contributor.authorid15839357700en_US
dc.date.accessioned2023-05-29T06:00:45Z
dc.date.available2023-05-29T06:00:45Z
dc.date.issued2015
dc.descriptionComputer forensics; Data handling; Fuzzy systems; Information analysis; Multi agent systems; Data analysis techniques; Domain experts; Fuzzy inference systems; Fuzzy threshold; Malicious agent; Threshold-value; Fuzzy inferenceen_US
dc.description.abstractThis paper describes a data analysis technique used to extract threshold values of a Fuzzy Inference System's (FIS) inputs. In this work, the FIS is used to classify malicious agents' behaviour in a Multi-Agent System (MAS) environment. The extraction of suitable FIS inputs threshold values in the MAS environment are based on data analysis derived from several simulation runs. Subsequently, the extracted threshold values are applied in the rules of the FIS framework for classifying malicious agents' behaviors. Results indicated that extracting the fuzzy threshold values using the data analysis technique is an acceptable alternative method when no domain expert is available. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7066601
dc.identifier.doi10.1109/ICIMU.2014.7066601
dc.identifier.epage48
dc.identifier.scopus2-s2.0-84937397069
dc.identifier.spage44
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937397069&doi=10.1109%2fICIMU.2014.7066601&partnerID=40&md5=f7a8d84ce55d6288e079cd0a0c933cfa
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22401
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014
dc.titleData analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agentsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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