Rating and friend sharing algorithm of trust based clustered routing algorithm in MANETS

The main objective of this paper is to improve the performance of MANETs with high immunity towards network attacks Grey Hole Attackers and Black Hole Attackers. In the clustered network if the elected cluster node [2] itself becomes a malicious node or selfish node, then the performance of data communication reduces. Hence the security of cluster head is necessary. Here nodes are selected conceding both behaviour based trust value and QoS trust metric values, which leads to a secured and trusted network, making it highly immune to inside attackers (compromised nodes) and outside attackers. In this paper, we are proposing a trust based clustered algorithm where the trust value is evaluated for every movable devices in the network and the devices with least trust value are discarded as malicious nodes. The nodes are added to the friend list based on the calculated trust level. The friends having a highest trust level are eligible to become cluster heads. The nodes having least trust values are considered as malicious and are removed from the friend list. The algorithm employee the following stages: a) Challenge your neighbors b) Rate your friends c) Share friends and Route through friends.