Trustworthy Vehicular CommunicationEmploying Multidimensional Diversificationfor Moving-target Defense

Enabling trustworthy Vehicle to Vehicle (V2V) communication given the wireless medium and the highly dynamic nature of the vehicular environment is a hard challenge. Eavesdropping and signal jamming in such highly dynamic environment is a real problem. This paper proposes a nature inspired multidimensional Moving-Target Defense (MTD) that employs real time spatiotemporal diversity to obfuscate wireless signals against attacker reach. In space: the mechanism manipulates the wireless transmission pattern and configuration to confuse eavesdroppers. In Time: we manipulate the transmission payload, by intentionally injecting some fake data into the real transmission. Further, the mechanism changes the data transmission granularity over time from fine to coarse grained data chunks. As a case study, we assumed the direct transmission model across dynamic multi-paths relayed communication via vehicles traveling on a multi-lane road. The system is evaluated based Journal of Cyber Security and Mobility, Vol. 8 2, 133–164. River Publishers doi: 10.13052/jcsm2245-1439.821 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 134 Esraa M. Ghourab et al. on a complete analysis of the system model and comprehensive simulated scenarios. Results showed the effectiveness of the presented approach with an increased confusion factor, a massive reduction in the intercept probability and clear increase in the channel secrecy.

[1]  Esa R. Alotaibi,et al.  Secrecy outage probability analysis for cooperative communication with relay selection under non-identical distribution , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[2]  Theodore L. Willke,et al.  The Role of Communications in Cyber-Physical Vehicle Applications , 2009 .

[3]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[4]  Mate Boban,et al.  Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation , 2013, IEEE Transactions on Vehicular Technology.

[5]  Martin E. Hellman,et al.  The Gaussian wire-tap channel , 1978, IEEE Trans. Inf. Theory.

[6]  Danuta Makowiec,et al.  Nagel-Schreckenberg Model of Traffic - Study of Diversity of Car Rules , 2006, International Conference on Computational Science.

[7]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[8]  Murat Uysal,et al.  Cooperative inter-vehicular communications in highway traffic , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

[9]  V. Tarokh,et al.  Design and analysis of collaborative diversity protocols for wireless sensor networks , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[10]  Mohamed Eltoweissy,et al.  Diversity-Based Moving-Target Defense for Secure Wireless Vehicular Communications , 2018, 2018 IEEE Security and Privacy Workshops (SPW).

[11]  Gordon L. Stüber,et al.  Statistical properties of amplify and forward relay fading channels , 2006, IEEE Transactions on Vehicular Technology.

[12]  A. D. Wyner,et al.  The wire-tap channel , 1975, The Bell System Technical Journal.

[13]  Gregory W. Wornell,et al.  Secure Transmission With Multiple Antennas I: The MISOME Wiretap Channel , 2010, IEEE Transactions on Information Theory.

[14]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[15]  Fan Bai,et al.  A Roadside Scattering Model for the Vehicle-to-Vehicle Communication Channel , 2013, IEEE Journal on Selected Areas in Communications.

[16]  Michael Schreckenberg,et al.  Mechanisms of jamming in the Nagel-Schreckenberg model for traffic flow. , 2017, Physical review. E.

[17]  Hesham El-Sayed,et al.  A Novel Approach to Enhance the Physical Layer Channel Security of Wireless Cooperative Vehicular Communication Using Decode-and-Forward Best Relaying Selection , 2018, Wirel. Commun. Mob. Comput..

[18]  Georgios B. Giannakis,et al.  Maximum-diversity transmissions over doubly selective wireless channels , 2003, IEEE Transactions on Information Theory.

[19]  F. Haber,et al.  A statistical model of mobile-to-mobile land communication channel , 1986, IEEE Transactions on Vehicular Technology.