TY  - CONF
N2  - Information security is a serious issue especially in present age because a solo attack may cause a big harm in computer and network systems. Several intrusion detection approaches exist to tackle this critical issue but the problem is which one is more suitable in the field of intrusion. Further, these approaches are used in intrusion detection systems. Therefore, in this paper, we evaluated them so that a suitable approach may be advised to intrusion detection systems. This work describes the concepts, tool and methodology being used for evaluation analysis of different intrusion detection approaches using multi-criteria decision making technique. Moreover, conclusion on results is made and direction for future works is presented. © 2010 IEEE.
N1  - cited By 7; Conference of 12th UKSim International Conference on Modelling and Simulation, UKSim 2010 ; Conference Date: 24 March 2010 Through 26 March 2010; Conference Code:80938
TI  - Comparative analysis of intrusion detection approaches
ID  - scholars1208
SP  - 586
KW  - Artificial Neural Network; Detection rates; Intrusion detection approaches; Intrusion detection systems; Multi-criteria
KW  -  Computer crime; Computer simulation; Decision making; Neural networks
KW  -  Intrusion detection
CY  - Cambridge
AV  - none
A1  - Ahmad, I.
A1  - Abdullah, A.B.
A1  - Alghamdi, A.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954516892&doi=10.1109%2fUKSIM.2010.112&partnerID=40&md5=6efb3666af6eda2fe0a240d56cd2f450
EP  - 591
Y1  - 2010///
SN  - 9780769540160
ER  -