• DHANASHREE SUNIL GODSE
• GANESH.R.PATHAK

A mobile ad hoc network (Medical WSN) is a persistently self-arranging, infrastructure-less network of mobile devices connected remotely. Each device in a Medical WSN is allowed to move independently in any path, and will therefore change its links to other devices frequently. Each must forward traffic irrelevant to its own utilization, and therefore be a router. The essential test in building a Medical WSN is preparing every device to continuously maintain the information required to appropriately route traffic. While mobile ad hoc networks have become a mature globally adopted technology due to its wide range of applications. Such environment has some basic differences in comparison to wired networks. Due to these little differences the Medical WSN are more prone to interception and manipulation. This further opens possibilities of insecure routing. For the efficient and conveyance of information CRCMD&R (Cluster and Reputation based cooperative malicious node Detection and Removal) strategy is proposed in this paper. CRCMD&R proposes arranging the Medical WSN into various clusters and every node in the network has a particular prime number which acts as Node Identity. CRCMD&R utilizes Legitimacy value table and Reputation level table managed by every node in the network to select and use a safe route between a source and a destination. The cornerstones of our work are the various metrics which can be further calculated by the values collected in Legitimacy value table and Reputation level table. Depending upon these metrics the cluster head nodes exclude or include the nodes from the discovered route and select the most reliable route to a specific destination. Contribution work is sending message in encrypted format for data security. Keywords- Mobile Ad-Hoc Networks, Black Hole, Gray Hole Attack, Warm-Hole Attack, Denial-of-Service, Prime Number, Cluster, Security, Routing, Wireless Network, Packet Drop

Detection and Prevention of Gray Hole Attack by Using Reputation System in Medical WSN

"Detection and Prevention of Gray Hole Attack by Using Reputation System in Medical WSN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.634-639, June 2019, Available :http://www.jetir.org/papers/JETIR1906T78.pdf

"Detection and Prevention of Gray Hole Attack by Using Reputation System in Medical WSN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp634-639, June 2019, Available at : http://www.jetir.org/papers/JETIR1906T78.pdf