DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-11 ( Nov, 2022 ) | |||||||||
Paper Title |
An Efficient Network Intrusion Detection and Classification System | |||||||||
Author Name |
Karishma Chavan, Dhanshree Gandas, Trimbkeshwar Jagtap, Mayur Sutar, Sujeet More | |||||||||
Affilition |
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Pages |
18-20 | |||||||||
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 | |||||||||
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