Cluster Based Cost Efficient Intrusion Detection System For Manet
This work addresses security and efficiency challenges for MANETs, but it appears incremental as it builds on existing clustering and intrusion detection techniques without introducing a fundamentally new approach.
The paper tackles the problem of intrusion detection in mobile ad-hoc networks (MANETs) by proposing a cluster-based system that optimizes leader election and intrusion detection processes, resulting in controlled cost and resource utilization while managing node mobility.
Mobile ad-hoc networks are temporary wireless networks. Network resources are abnormally consumed by intruders. Anomaly and signature based techniques are used for intrusion detection. Classification techniques are used in anomaly based techniques. Intrusion detection techniques are used for the network attack detection process. Two types of intrusion detection systems are available. They are anomaly detection and signature based detection model. The anomaly detection model uses the historical transactions with attack labels. The signature database is used in the signature based IDS schemes. The mobile ad-hoc networks are infrastructure less environment. The intrusion detection applications are placed in a set of nodes under the mobile ad-hoc network environment. The nodes are grouped into clusters. The leader nodes are assigned for the clusters. The leader node is assigned for the intrusion detection process. Leader nodes are used to initiate the intrusion detection process. Resource sharing and lifetime management factors are considered in the leader election process. The system optimizes the leader election and intrusion detection process. The system is designed to handle leader election and intrusion detection process. The clustering scheme is optimized with coverage and traffic level. Cost and resource utilization is controlled under the clusters. Node mobility is managed by the system.