The objective of this paper is to extract fuzzy classification rules for intrusion detection in computer networks. The proposed method is based on the iterative ...
Computer Intrusion Detection Using an Iterative Fuzzy Rule. Learning Approach. Mohammad Saniee Abadeh and Jafar Habibi. Abstract-The process of monitoring the ...
M. S. Abadeh and J. Habibi, “Computer Intrusion Detection Using an Iterative Fuzzy Rule Learning Approach,” Proceedings of the IEEE International Conference ...
Fuzzy Rule Interpolation (FRI) methods can serve deducible (interpolated) conclusions even in case if some situations are not explicitly defined in a fuzzy ...
To achieve this, we propose a method based on iterative rule learning using a fuzzy rule-based genetic classifier. Our approach is mainly composed of two phases ...
(PDF) Network Intrusion Detection System using Fuzzy Logic
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The proposed fuzzy logic-based system can be able to detect an intrusion behavior of the networks since the rule base contains a better set of rules.
The proposed fuzzy logic-based system can be able to detect an intrusion behavior of the networks since the rule base contains a better set of rules.
The objective of this paper,is to describe a fuzzy genetics-based learning algorithm and discuss its usage,to detect intrusion,in a,computer,network.
... Computer Intrusion Detection Using an Iterative Fuzzy Rule Learning Approach", in. Proceedings of the IEEE International Conference on Fuzzy Systems, pp: 1-6 ...
Jan 19, 2018 · This document describes a computer intrusion detection system that uses a two-objective fuzzy genetic algorithm. The system aims to (1) ...