TY  - JOUR
T1  - An Intrusion Detection System for MANET using CRF Based Feature Selection and Temporal Association Rules
AU - Somasundaram, R.M. AU - Lakshmanan, K. 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 6
SP  - 400
EP  - 405
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.400.405
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.400.405
KW  - Intrusion Detection System (IDS)
KW  -temporal association rules
KW  -Conditional Random Field (CRF)
KW  -time intervals
KW  -world
AB  - As the Internet services spread all over the world, many kinds 
  of security threats are introduced by malicious users. For the secured usage 
  of the internet, the intrusion detection system plays a main role. Intrusion 
  is an unauthorized access of the network resource by either a person or any 
  software program. The role of the IDS is to analyze the network traffic and 
  gives alerts about the attacks. In this study, researchers propose a new intrusion 
  detection system using the temporal association rules for effective classification. 
  Moreover, a new feature selection algorithm based on the Conditional Random 
  Field (CRF) is used to improve the detection accuracy. The experimental results 
  of the proposed model show that this system detects anomalies with low false 
  alarm rate and high detection rate when tested with KDD Cup’99 
  dataset.
ER  -