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| Received
14-Apr-2026 |
Accepted
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Published
14-Apr-2026 |
Abstract
Intrusion detection is the technique of detecting malicious traffic on a network or a
device. It is one of the critical network security components against emerging intrusions
techniques and attacks. In this paper we present a survey of different intrusion detection
approaches. Intrusion Detection Systems based on Genetic Algorithm are currently
attracting researchers due to its inherent potential. Intrusion detection faces various
challenges like reliably detect malicious activity and perform efficiently to cope with the
large amount of network traffic. Here we have analyzed the present research challenges
and issues in Genetic Algorithm based intrusion detection. Finally we carry out our
experiments based on our sample Genetic Algorithm using KDD Cup 99 data set. The
main contribution of the implementation is the understanding of challenges in Genetic
Algorithm based intrusion detection.
Keywords: Security, Challenges, Genetic Algorithm, Intrusion Detection
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