DocumentCode
2187154
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
fYear
2013
fDate
7-9 Oct. 2013
Firstpage
641
Lastpage
644
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2013
Conference_Location
London
Type
conf
Filename
6661807
Link To Document