TY  - JOUR
T1  - An Effective Intrusion Detection System Using CRF Based Cuttlefish Feature Selection Algorithm and MSVM
AU - Kambattan, K. Rajesh AU - Manimegalai, R. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 5
SP  - 891
EP  - 895
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.891.895
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.891.895
KW  - Cuttle fish
KW  -multiclass support vector machine
KW  -intrusion detection system
KW  -feature selection
KW  -agent
AB  - In this study, we propose an effective intrusion detection system for improving the detection accuracy. In this proposed system, we propose a new feature selection algorithm called Enhanced Cuttlefish Feature Selection Algorithm (ECFSA) for effective feature selection and Intelligent Agent based Enhanced Multiclass Support Vector Machine (IAEMSVM) classification algorithm is used for classification. The experimental results of the proposed system show that this system produced high-detection rate when tested with KDD Cup 99 data set.
ER  -