International Journal of Advanced Networking and Applications

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FuGeIDS: Fuzzy Genetic paradigms in Intrusion Detection Systems


Affiliations
1 Department of Computer Science and Engineering, Dibrugarh University Institute of Engineering and Technology, Dibrugarh, Assam, India
 

With the increase in the number of security threats, Intrusion Detection Systems have evolved as a significant countermeasure against these threats. And as such, the topic of Intrusion Detection Systems has become one of the most prominent research topics in recent years. This paper gives an overview of the Intrusion Detection System and looks at two major machine learning paradigms used in Intrusion Detection System, Genetic Algorithms and Fuzzy Logic and how to apply them for intrusion detection.

Keywords

Survey, Intrusion Detection System, Fuzzy Logic, Genetic Algorithms, Anomaly Detection.
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  • FuGeIDS: Fuzzy Genetic paradigms in Intrusion Detection Systems

Abstract Views: 249  |  PDF Views: 2

Authors

Rajdeep Borgohain
Department of Computer Science and Engineering, Dibrugarh University Institute of Engineering and Technology, Dibrugarh, Assam, India

Abstract


With the increase in the number of security threats, Intrusion Detection Systems have evolved as a significant countermeasure against these threats. And as such, the topic of Intrusion Detection Systems has become one of the most prominent research topics in recent years. This paper gives an overview of the Intrusion Detection System and looks at two major machine learning paradigms used in Intrusion Detection System, Genetic Algorithms and Fuzzy Logic and how to apply them for intrusion detection.

Keywords


Survey, Intrusion Detection System, Fuzzy Logic, Genetic Algorithms, Anomaly Detection.