Abstract: Cooperation among nodes is the fundamental requirement for the Opportunistic Mobile Networks (OMNs).Here using the store-carry-and-forward mechanism, messages are processing the communication. Each and every node in the network has a mobility and range of region in which each node communicate with other node or its neighbour node. Due to the dynamic nature, several security threats arise in such networks. The selfish behaviour of nodes affects the overall performance of the packet transmission. In OMNs, truthfully detected the packet dropping on the basis of holding procedure schemes. When sensor data is transmitted towards the sink along the tree structure, each packet sender or forwarder adds a small number of additional bits, to the packet, which is called packet marks. Packet marks is each time modified by the corresponding node. Using Packet marks the sink can figure out the dropping rate associated with every sensor node. Packet mark based on CR Score, it indicates how much we can trust the node and measures the degree of selfishness. After detecting the selfish node and create SCF tree and allocate the replica to overcome the selfish nodes. Identifying the packet dropper and runs node categorization algorithm and heuristic ranking algorithm for providing the knowledge that which nodes are bad for sure and which nodes are suspiciously bad. Proposed method identifying the multiple selfish node attacks and overcome these selfish nodes using replica allocation and credit risk score techniques.
Keywords: Cooperation, Opportunistic Mobile Network, Credit Risk Score, Self Centered Friendship Tree.
Title: Truthful Detection of Packet Dropping Attacks in Opportunistic Mobile Networks
Author: Aswathy Mohan, Sankari S
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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