Tracking of Intruder in Local Area Network Using Decision Tree Learning Algorithms
Keywords:
Intrusion Detection System, Iterative Dichotomiser 3, Information Gain, Entropy, Decision Tree AlgorithmAbstract
This paper is mainly deals with Intrusion Detection System which is used to monitor the activities in network or an application and also used to track and filter the unauthorized data using Decision Tree and Entropy techniques. Entropy and information Gain are the two Mathematical Concept and Computational techniques, to find the Solution for particular dataset using ID3(Iterative Dichotomiser 3) Techniques. Entropy is mainly focused on Iterative steps base on three rules less than, greater than and equal to whereas Information Gain is used the leaf node from the decision tree. This paper is to track and filter the unauthorized data using Intrusion Detection System (IDS) in appropriate LAN network in an organization.
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References
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Copyright © The Author(s). This article is published under the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
