International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 78 - Number 16 |
Year of Publication: 2013 |
Authors: Sharmila Kishor Wagh, Vinod K. Pachghare, Satish R. Kolhe |
10.5120/13608-1412 |
Sharmila Kishor Wagh, Vinod K. Pachghare, Satish R. Kolhe . Survey on Intrusion Detection System using Machine Learning Techniques. International Journal of Computer Applications. 78, 16 ( September 2013), 30-37. DOI=10.5120/13608-1412
In today's world, almost everybody is affluent with computers and network based technology is growing by leaps and bounds. So, network security has become very important, rather an inevitable part of computer system. An Intrusion Detection System (IDS) is designed to detect system attacks and classify system activities into normal and abnormal form. Machine learning techniques have been applied to intrusion detection systems which have an important role in detecting Intrusions. This paper reviews different machine approaches for Intrusion detection system. This paper also presents the system design of an Intrusion detection system to reduce false alarm rate and improve accuracy to detect intrusion.