2022
DOI: 10.3233/apc220092
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Host Intrusion Detection System Using Novel Predefined Signature Patterns by Comparing Random Forest over Decision Tree Algorithm

Abstract: The objective of the work is to identify anomaly intrusion detection in a user network environment using information accessing and retrieval from homogeneous network databases. Here machine learning algorithms namely Random Forest and Decision Tree are been used to categorize passive and active attack. To accomplish focused accuracy, sample size of n=10 in Random Forest and n=10 in Decision Tree was repeated for 20 intervals for well-organized and precise investigation on categorized images with G power in 80%… Show more

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