An Analysis of Intrusion Detection Classification using Supervised Machine Learning Algorithms on NSL-KDD Dataset

From the past few years, Intrusion Detection Systems (IDS) are employed as a second line of defence and have shown to be a useful tool for enhancing security by detecting suspicious activity. Anomaly based intrusion detection is a type of intrusion detection system that identifies anomalies. Conven...

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Bibliographic Details
Main Authors: Sarthak Rastogi, Archit Shrotriya, Mitul Kumar Singh, Raghu Vamsi Potukuchi
Format: Article
Language:English
Published: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2022-03-01
Series:Journal of Computing Research and Innovation
Subjects:
Online Access:https://crinn.conferencehunter.com/index.php/jcrinn/article/view/274