Title :
Research on intelligent intrusion prevention system based on Snort
Author :
Li, Hui ; Liu, Dihua
Author_Institution :
Grad. Sch., Changchun Univ. of Technol., Changchun, China
Abstract :
Due to the limitation of the firewall and intrusion detection system in the information security domain, intrusion prevention system (IPS) appeared. It is a new generation information security technology following the firewall and intrusion detection technique. It is also a secure product that protects the network and system in real time from attacking, and now becomes a hotspot of research in network security domain. This article mainly focuses on the support vector machine (SVM) applying to Snort intrusion detection system, then implements a small scale intelligent intrusion prevention system by combining Snort intrusion detection system and firewall.
Keywords :
authorisation; support vector machines; firewall; information security technology; intelligent intrusion prevention system; snort intrusion detection system; support vector machine; Databases; Educational institutions; Fires; Support vector machines; Snort; firewall; intrusion detection system; intrusion prevention system; support vector machine;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610483