DocumentCode :
255158
Title :
Data mining based on intrusion detection system and attack ontologiess
Author :
Banaei, S. ; Javanmard, M.
Author_Institution :
PNU, Tehran, Iran
fYear :
2014
fDate :
27-29 May 2014
Firstpage :
32
Lastpage :
32
Abstract :
Nowadays, by spreading the usage of the Internet, having a secure communication channels for providing a safe network, is needed. Firewalls are not sufficient enough to prevent attacks among computer networks, because internal attacks are incontrollable. For prevention of these internal attacks, unauthorized intrusion detection systems will be used to secure the network. In this paper, firstly, we define data mining methods, and then we look through various attacks and intrusion detections, and base on these matters, we discuss a data mining-based method for network intrusion detection and attack ontologies.
Keywords :
authorisation; computer crime; computer network security; data mining; ontologies (artificial intelligence); Internet usage; attack ontologies; attacks prevention; computer networks; data mining methods; internal attacks; network intrusion detection; network security; safe network; secure communication channels; unauthorized intrusion detection systems; Ontologies; Attacks; Computer Networks; Data Mining; Intrusion Detection; Ontology; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Knowledge Technology (IKT), 2014 6th Conference on
Conference_Location :
Shahrood
Print_ISBN :
978-1-4799-5658-6
Type :
conf
DOI :
10.1109/IKT.2014.7030328
Filename :
7030328
Link To Document :
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