• Asmita Bhaskar Tilave
• Madhavi Raghunath Trimbakkar
• Shyam Nitin Shinde
• Prof.Swapnil Brijalal Kadam
• Prof. Nilam Nisar Shaikh

In recent years, there are modest changes in growth of computer network likelihood of network security. The rapid increasing unauthorized activities in network, traditional firewall techniques cannot provide complete protection against attacks or intrusion. Intrusion Detection System (IDS) is one of the popular techniques for security. IDS detect the complicated intrusions in networks. In this paper, we present a Support Vector Machine (SVM) approach with feature scaling to detect various types of network intrusion. The experimental result shows higher detection accuracy rate and reduces the time complexity using kernel SVM.

intrusion detection system, support vector machine, KDD_dataset, Feature scaling

"Intrusion Detection System Using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.224-229, April-2019, Available :http://www.jetir.org/papers/JETIR1904032.pdf

"Intrusion Detection System Using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp224-229, April-2019, Available at : http://www.jetir.org/papers/JETIR1904032.pdf