AN ANOMALOUS REAL-TIME INTRUSION DETECTION SYSTEM USING MACHINE LEARNING ALGORITHM
Deepak C Mahajan, Sanket A Sancheti, Prasad R Jadhav, Atul M Nikhade, Sharmila K. Wagh · Journal of Harmonized Research in Engineering · 2014
With the growth of the users of internet, the numbe r of security threats are also increasing. These ca n be dealt with by deploying the intrusion detection system. It can be useful in effective detection of intruded access. In this paper, we aim to create a Real Time Intrusion Detection System (RTIDS) that would facilitate in detecting attacks against compu ter systems and networks. This RTIDS is designed to detect system attacks and classify system activi ties into normal and abnormal form with respect to their behavior. Machine learning techniques which h ave an important role in detecting intrusions have been applied to our RTIDS. This paper also helps to clarify the system design of an Intrusion Detectio n System (IDS) to reduce false alarm rate and improve accuracy to detect intrusion.