Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents
Computer 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 inference
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-224012023-05-29T14:00:45Z Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents Musa N.A. Yusoff M.Z.M. Yusoff Y. Ismail R. 56728044600 22636590200 56921898900 15839357700 Computer 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 inference This 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. Final 2023-05-29T06:00:45Z 2023-05-29T06:00:45Z 2015 Conference Paper 10.1109/ICIMU.2014.7066601 2-s2.0-84937397069 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937397069&doi=10.1109%2fICIMU.2014.7066601&partnerID=40&md5=f7a8d84ce55d6288e079cd0a0c933cfa https://irepository.uniten.edu.my/handle/123456789/22401 7066601 44 48 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Computer 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 inference |
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56728044600 |
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56728044600 Musa N.A. Yusoff M.Z.M. Yusoff Y. Ismail R. |
| format |
Conference Paper |
| author |
Musa N.A. Yusoff M.Z.M. Yusoff Y. Ismail R. |
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Musa N.A. Yusoff M.Z.M. Yusoff Y. Ismail R. Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| author_sort |
Musa N.A. |
| title |
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| title_short |
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| title_full |
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| title_fullStr |
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| title_full_unstemmed |
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents |
| title_sort |
data analysis technique to extract threshold value for fuzzy inference system in classifying malicious agents |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806426441755131904 |
| score |
13.214268 |