A Comparative Approach for Host Based Intrusion Detection Using Naiyve Bayes and KNN Algorithm
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 2
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.
Authors and Affiliations
Pushpendra Chaturvedi
Keywords
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- EP ID EP745007
- DOI 10.55524/ijircst.2024.12.2.15
- Views 26
- Downloads 0
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