Title :
Development of a network-based: Intrusion Prevention System using a Data Mining approach
Author :
Al-Hamami, Alaa Hussein ; Al-Saadoon, Ghossoon M. Waleed
Author_Institution :
Comput. Sci. Dept., Amman Arab Univ., Amman, Jordan
Abstract :
Intrusion Prevention Systems (IPS) can analyse, detect and prevent intruder attacks. IPS provide a good service in securing the network, which goes further than the functionality of Intrusion Detection Systems (IDS), firewalls, antiviruses and any security applications, by actively responding to attacks and affording great flexibility when dealing with security threats.
Keywords :
computer network security; data analysis; data mining; IDS; IPS; antivirus; data mining approach; firewall; intruder attack analysis; intruder attack detection; intruder attack prevention; intrusion detection system; network security; network-based intrusion prevention system; security application; security threat; Algorithm design and analysis; Clustering algorithms; Data mining; IP networks; Intrusion detection; Ports (Computers); Data Mining; Internet Protocol; Intrusion Prevention System; K-Means; PF-G Algorithm;
Conference_Titel :
Science and Information Conference (SAI), 2013
Conference_Location :
London
