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

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 value...

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Main Authors: Musa, N.A., Yusoff, M.Z.M., Yusoff, Y., Ismail, R.
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Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/9150
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spelling my.uniten.dspace-91502018-02-21T05:04:45Z 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. 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. 2018-02-21T05:04:45Z 2018-02-21T05:04:45Z 2015 http://dspace.uniten.edu.my/jspui/handle/123456789/9150
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description 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.
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author Musa, N.A.
Yusoff, M.Z.M.
Yusoff, Y.
Ismail, R.
spellingShingle 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_facet Musa, N.A.
Yusoff, M.Z.M.
Yusoff, Y.
Ismail, R.
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
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/9150
_version_ 1644494633486516224
score 13.160551

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