Intrusion is the most concerned security issue in the network where the intruders will act like genuine nodes to steal information from the other users. Intrusion detection is the most concerned research issue that needs to be focused more to ensure the secured and reliable network environment for the users. This is focused and resolved in the previous research work namely Trust and Novel Key based Cooperative Intrusion Detection System (TNK-CIDS). In this work trust based monitoring node selection is done which avoids the selfish node attacks. However, Compromisation between multiple nodes cannot be detected using this work which needs to resolve further. And also intrusion detection based on entropy metrics might lead to reduced performance which needs to be concentrated. This is focused and resolved in the proposed work by introducing the method namely Cooperative Intrusion Detection System (CIDS). In this research work, initially hybridized watchdog and selective two acknowledge procedure is carried out to find the intrusion activities. This method works in the cooperative way to detect the intruders effectively. And then to avoid the computation overhead and network failure, in this proposed work secondary server selection is carried out to perform intrusion detection process. Thus the intruders will be identified in the secondary server itself without reaching the primary server. Here the optimal secondary server selection is done by using Modified Ant colony algorithm. And then intrusion detection is performed by finding and learning the traffic variation between different traffic patterns by using the modified SVM approach. The implementation of this work is done in the NS2 simulation from which it is proved that the proposed CIDS tends to have better intrusion detection probability than the existing works.
Volume 11 | Issue 8