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Wireless Body Area Network (WBAN) is the most rapidly growing branch of networking and data communication. With the rapid advancements of wireless communication and semiconductor technology, sensor network designed to operate autonomously to connect various other sensors (medical, position and geography) and appliances has become more robust and efficient. In this paper we realize a network consisting of intra-body and interbody communication network. Each body is considered to be an Autonomous System (AS) capable of mobility and connectivity to every other Autonomous System (AS) with different Autonomous System Number (ASN). The later constitutes the inter-body communication system. This network when connected and tested would enable exchange of confidential and essential data of military personnel. The information in the network to be transmitted is encrypted by various encryption policies and algorithm. This would avoid the intruders from stealing TOP-SECRET data/information. GNS 3 tool is used for implementing routing and cryptography on the network.

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We are sending data from source node to destination using wireless sensor networks (WSNs), In wireless sensor networks, it is a typical threat to source privacy that an attacker performs back tracing strategy to locate source nodes by analyzing transmission paths. So there is lot of chances to lose data and information theft by network hackers. Network hackers performs eves dropping, sniffers attack, Denial of service attack. These types of attacks are achieved by negative commands generated by intermediate server maintained by hackers. With the popularity of the Internet of Things (IoTs) in recent years, source privacy protection has attracted a lot of attentions. However, they fail to get the tradeoff between multi path transmission and transmission cost. In this project, we propose a Constrained Random Routing (CRR) mechanism and Greedy techniques, which can constantly change routing next-hop instead of a relative fixed route so that attackers cannot analyze routing and trace back to source nodes. At first we designed the randomized architecture for each sensor nodes. Then calculate the coordinates and node, Finally, the selected weights help to decide which node will become the next hop. In this way, attackers would be confused by the constantly changing paths. The simulation results prove that our proposal can achieve high routing efficie path transmission.