A technical note on the paper “hGA: Hybrid genetic algorithm in fuzzy rule-based classification systems for high-dimensional problems”

2016 ◽  
Vol 41 ◽  
pp. 91-93 ◽  
Author(s):  
Shahab Derhami ◽  
Alice E. Smith
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Fuzzy Rule ◽  
Technical Note ◽  
Classification Systems ◽  
High Dimensional ◽  
Rule Based

Intrusion detection system using a new fuzzy rule-based classification system based on genetic algorithm

2021 ◽  
pp. 1-7
Author(s):  
Zahra Asghari Varzaneh ◽  
Marjan Kuchaki Rafsanjani
Keyword(s):  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Classification System ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Detection System ◽  
Fuzzy Rule ◽  
Classification Systems ◽  
Classification Rate ◽  
Rule Based

Intrusion can compromise the integrity, confidentiality, or availability of a computer system. Intrusion Detection System (IDS) is a type of security software designed to monitor network traffic and identify network intrusions. In this paper, A Fuzzy Rule – Based classification system is used to detect intrusion in a computer network. In order to improve the classification rate, a new method is proposed based on Genetic Algorithm (GA) for rule weights specification. The proposed method is tested on KDD99 dataset. Experimental results show the proposed method improves the performance of the fuzzy rule-based classification systems in terms of detection rate and false alarm rate.

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