TY  - JOUR
T1  - A Software Based Approach for Detecting Intrusion in Wireless Ad Hoc Networks
AU - Ravichandran, M. AU - Ravichandran, C.S. 
JO  - Research Journal of Applied Sciences
VL  - 9
IS  - 5
SP  - 257
EP  - 261
PY  - 2014
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2014.257.261
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2014.257.261
KW  - Snort
KW  -SPADE
KW  -anomaly
KW  -wireless ad hoc
KW  -false alarms
AB  - Intrusion Detection Systems (IDS) are progressively becoming 
  a key part of network security by supervising the network traffic and attempting 
  to identify and alert all malicious behavior to the user. In this study, Snort, 
  a Signature-Based IDS that identifies attacks in a network traffic based on 
  the rules written and SPADE, a Statistical-Based IDS that flags for anomalous 
  behavior in the network traffic by learning the normal behavior for the packets 
  in that particular network are both used. The integration of Snort and SPADE 
  improves the detection accuracy and a vast majority of anomalous traffic on 
  the network can be identified. However, the system is still prone to false positive 
  errors that occur when a normal activity is misclassified as an attack. This 
  leads to the anomaly based IDS to produce undesirable results as normal packets 
  are being classified as malicious packets and are dropped or rejected by the 
  system and also raising frequent false alerts. The main objective of this research 
  is to find a scenario in which false positives are generated by SPADE and proceed 
  to modify SPADE in such a way that it can be deployed effectively in a Wireless 
  Ad Hoc Network.
ER  -