Data Oriented Vehicular Ad-hoc Networks (DOV) with Privacy and Security

Vehicular ad-hoc networks (VANETs) have become promising field of research in intelligent Transportation systems. In spite of the number of benefits in VANETs, they also have major drawbacks with respect to privacy and security. Nowadays vehicles are equipped with sensors and wireless communication devices, allowing vehicles to sense traffic and road conditions, and warn other nearby vehicles about potential emergency situations and traffic jams .The demand for efficient data dissemination/access techniques to find the relevant data from within a vehicular ad-hoc network has led to the development of data-oriented VANETs (DOV), where the sensor data are named based on traffic, road conditions and identities of vehicles. However, saving data inside a network also creates security problems. For example using unique identifiers for communication, a vehicle can easily be located and tracked. Today, people are more and more concerned about their privacy. As a technical solution to protect vehicle data, in this paper, we present privacy and security enhanced DOV network which offers different levels of data privacy based on different cryptographic keys which prevents the eaves dropper from accessing vehicle‟s key and we are in the progress of work in performance analysis.