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...
Saved in:
Main Authors: | Musa, N.A., Yusoff, M.Z.M., Yusoff, Y., Ismail, R. |
---|---|
Format: | Conference Paper |
Language: | English |
Published: |
2017
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents
by: Musa N.A., et al.
Published: (2023) -
Defending Malicious Script Attacks Using Machine
Learning Classifiers
by: Nayeem, Khan, et al.
Published: (2017) -
A dynamic method of detecting malicious scripts using classifiers
by: Nayeem, Khan, et al.
Published: (2017) -
Online signature verification with neural networks classifier and fuzzy inference
by: Khalid, Marzuki, et al.
Published: (2009) -
A bibliometric statistical analysis of the fuzzy inference system - based classifiers
by: Chen, Wenhao, et al.
Published: (2021)