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Network Intrusion Detection System Using Machine Learning Techniques
Author Name : V. Balu, Pagolu Vishnu Sai, P.V Abhilash Kumar
ABSTRACT
The networks have made the procedure of data analysis very tough via detecting attacks the use of appropriate techniques. while Intrusion Detection structures (IDSs) at ease sources in opposition to threats, they still face challenges in improving detection accuracy, lowering fake alarm rates, and detecting the unknown ones. The method maximum generally hired to fight network intrusion is the development of assault detection structures through machine learning and statistics mining strategies. these structures can identify and disconnect malicious network traffic, thereby assisting to shield networks. community Intrusion detection system video display units network traffic for suspicious activity and signals users while such activity is determined the use of API.
Keywords: Intrusion Detection, Machine Learning, Network Traffic.