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Vehicular Ad-hoc NETwork (VANET) is an emerging technology. The integration of NEMO (NETwork MObility) with VANET is known as NEMO based VANETs. This combination supports the communication between the RSU (Road Side Unit) and Vehicles to provide the internet access through the public hotspots inside the public transportation systems. The travelers inside these systems can enjoy full internet access by using different Mobile Network Nodes (MNNs). Due to open nature of wireless system the physical layer attack can easily localize the MNNs by measuring their Received Signal Strength (RSS). The proposed system deals with the power variability and concealment techniques and propose the hybrid privacy preserving scheme to prevent the attackers from localizing the MNNs inside Nested NEMO based VANETs hotspots. The main aim of this proposed system is to make more confusion on the measurement of RSS and, hence, preserve the privacy at physical layer. The simulation is achieved by the integration of Vanet Mobisim and NS-2. In addition, our proposed scheme can be practically implemented due to having many MNNs that select the same fake point and, hence, increase estimation error on RSS measurement by the attacker. Key words: NEMO, Nested NEMO, Privacy, RSS, VANET

Summary Inthe mobile ad hoc network (MANET), the nodes are moving very frequently and they do not have any fixed infrastructure. For reliable data delivery in MANET, we have analyzed the efficiency of data delivery using Position‐based Opportunistic routing method and greedy forwarding technique, which is based on geographic routing method. Initially, the MANET is divided into a number of provinces to identify the location of the receiver, and then Geographic routing is applied on the network for transmission of data. Based on the performance and throughput, the best forwarder node will be identified. Semi Markov process is used to develop the node behavior model for network survivability. In this work, reliable data delivery is obtained for the MANET by estimating the present performance of the network through isolating the forwarder node in Semi Markov process.

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