A Comparative Approach for Host Based Intrusion Detection Using Naiyve Bayes and KNN Algorithm

Authors

  • Pushpendra Chaturvedi Lecturer, SOS in Computer Science and Application, Jiwaji University, Gwalior, Madhya Pradesh, India

Keywords:

Intrusion detection, K-NN, Naïve - Bayes

Abstract

Despite the existence of various types of network intrusion detection system, growth of attacks at host level has increased in the present time. Therefore, there is a huge potential of research in this field and which motivates this research work. This paper analyses the pattern of four classes of attacks used to deploy host-based intrusion. KNN and Naïve-Bayes algorithms are employed and compared in this research work to determine the presence of intrusion using standard measures of performance.

References

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CITES THIS ARTICLE AS

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Published

2024-03-30

How to Cite

[1]
P. Chaturvedi, “A Comparative Approach for Host Based Intrusion Detection Using Naiyve Bayes and KNN Algorithm”, IJIRCST, vol. 12, no. 2, pp. 87–90, Mar. 2024.

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