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

Pushpendra Chaturvedi

doi:10.55524/ijircst.2024.12.2.15

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.

Keywords

Intrusion detection, K-NN, Naïve - Bayes

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Cites this article as

P. C. "A Comparative Approach for Host Based Intrusion Detection Using Naiyve Bayes and KNN Algorithm", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-12, Issue-2, Page No-87-90, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.2.15

Corresponding Author

Pushpendra Chaturvedi

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

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