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Issue No. 07 - July (2017 vol. 16)
ISSN: 1536-1233
pp: 2065-2078
Xiaojun Zhu , College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Fengyuan Xu , State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Edmund Novak , Department of Computer Science, College of William and Mary, Williamsburg, VA
Chiu C. Tan , Department of Computer and Information Sciences, Temple University, Philadelphia, PA
Qun Li , Department of Computer Science, College of William and Mary, Williamsburg, VA
Guihai Chen , State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
ABSTRACT
Securing a wireless channel between any two vehicles is a crucial component of vehicular networks security. This can be done by using a secret key to encrypt the messages. We propose a scheme to allow two cars to extract a shared secret from RSSI (Received Signal Strength Indicator) values in such a way that nearby cars cannot obtain the same key. The key is information-theoretically secure, i.e., it is secure against an adversary with unlimited computing power. Although there are existing solutions of key extraction in the indoor or low-speed environments, the unique channel conditions make them inapplicable to vehicular environments. Our scheme effectively and efficiently handles the high noise and mismatch features of the measured samples so that it can be executed in the noisy vehicular environment. We also propose an online parameter learning mechanism to adapt to different channel conditions. Extensive real-world experiments are conducted to validate our solution.
INDEX TERMS
Wireless communication, Communication system security, Automobiles, Vehicle dynamics, Security, Coherence, Smoothing methods
CITATION

X. Zhu, F. Xu, E. Novak, C. C. Tan, Q. Li and G. Chen, "Using Wireless Link Dynamics to Extract a Secret Key in Vehicular Scenarios," in IEEE Transactions on Mobile Computing, vol. 16, no. 7, pp. 2065-2078, 2017.
doi:10.1109/TMC.2016.2557784
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