Paper Title :An Efficient Network Intrusion Detection and Classification System

Author :Karishma Chavan, Dhanshree Gandas, Trimbkeshwar Jagtap, Mayur Sutar, Sujeet More

Article Citation :Karishma Chavan ,Dhanshree Gandas ,Trimbkeshwar Jagtap ,Mayur Sutar ,Sujeet More , (2022 ) " An Efficient Network Intrusion Detection and Classification System " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 18-20, Volume-10,Issue-11

Abstract : Abstract – Intrusion detection in computer networks is of great importance because of its effects on the different communication and security domains. The detection of network intrusion is a challenge. Moreover, network intrusion detection remains a challenging task as a massive amount of data is required to train the state-of-the-art machine learning models to detect network intrusion threats. Many approaches have already been proposed recently on network intrusion detection. Keywords - Network Intrusion Detection System (NIDS); Software Defined Network (SDN); NSL-KDD; Machine Learning; Feature Scaling, AdaBoost

Type : Research paper

Published : Volume-10,Issue-11

	|		PDF	|	Viewed - 41	|	Published on 2023-01-05