Title :
Smart intrusion detection system for MANET
Author_Institution :
Dept. of CSE & IT, ITM Univ., Gurgaon, India
Abstract :
Mobile Ad hoc networks (MANET) are infrastructure less networks which consist of self organized & self configured multihop nodes. The topology of these networks change with time. The nodes in the network not only act as routers but also as hosts. Two main issues in MANET are challenging namely, optimized routing and security. The approach followed in this paper suggests use of data mining techniques such as clustering and classification in developing intrusion detection system for MANET. We will use Zone routing protocol (ZRP) for packet flow which is hybrid in nature. Then various properties of the malicious, selfish and loyal nodes are used to identify the cluster heads. Cluster head is one of the loyal nodes which are having sufficient energy to transmit the message in the mobile Ad hoc networks and also guarantees successful transmission of data from source to destination.
Keywords :
mobile ad hoc networks; routing protocols; security of data; telecommunication network topology; telecommunication security; MANET; cluster heads; data mining; mobile ad hoc networks; packet flow; routers; smart intrusion detection system; zone routing protocol; Data mining; Intrusion detection; Knowledge based systems; Mobile ad hoc networks; Routing; Routing protocols; Classification; Clustering; MANET; Mining; Zone routing protocol;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164690