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VIKE: vehicular IKE for context-awareness

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Abstract

Vehicular ad-hoc networks differ from the wired networks and behave in a highly dynamic context, e.g. frequently changing signal-to-noise ratio (SNR) and security risks, which undoubtedly affects the experienced quality-of-service (QoS) and security. In this paper, we propose to dynamically balance the anticipated QoS and security for adapting to the varying vehicular context and the served applications with aims to attain a satisfactory performance rating but without compromising any security. To this end, a variant of IKEv2 called Vehicular Internet Key Exchange (VIKE) is put forward to autonomously negotiate the optimal encryption and integrity algorithms and the related profile that particularly suit to the current context with respect to the confronted SNR, security risk and application requirements. We theoretically derive the relations between the QoS and security for analytical solutions in terms of four categories of vehicular applications. The extensive numerical calculations are conducted to comprehensively investigate how the proposed VIKE responses to the various combinations of the SNR, modulation scheme and key length. The results show that the VIKE is capable of self-adapting to the vehicular context, and of contributing to the quality of communication performance without compromising any security. The proposed VIKE is expected to port the mass-deployed IKE into securing the emerging numerous vehicular applications and services.

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Acknowledgments

This work was supported by National Nature Science Foundation [51175215, 61202472, 61373123]; Research Fund for the Doctoral Program of Higher Education of China [20120061120060]; China Post-doc Science Foundation [2011M500614, 2013T60328]. The Fundamental Research Funds of the Central Universities [201103136]; The Fund of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education [93K172012K05]; Foundation of State Key Laboratory of Automotive Simulation and Control [20120108]; Jilin Provincial Foundation for Young Scholars [20130522116JH]; Jilin Provincial Science and Technology Development Foundation [20120301,20130206040GX]; and Jilin Provincial International Cooperation Foundation [20140414008GH, 20150414004GH].

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, 2699 Qianjin Avenue, Changchun, 130012, China

    Jiake Xu, Yanheng Liu & Jian Wang

  2. Key Laboratory of Symbolic Communication and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China

    Jiake Xu, Yanheng Liu & Jian Wang

  3. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130012, China

    Yanheng Liu, Jian Wang & Weiwen Deng

  4. Centre of Robotics, MINES ParisTech, 75006, Paris, France

    Jian Wang & Thierry Ernst

Authors
  1. Jiake Xu
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  2. Yanheng Liu
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  3. Jian Wang
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  4. Weiwen Deng
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  5. Thierry Ernst
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Correspondence to Jian Wang.

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Xu, J., Liu, Y., Wang, J. et al. VIKE: vehicular IKE for context-awareness. Wireless Netw 21, 1343–1362 (2015). https://doi.org/10.1007/s11276-014-0856-1

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  • DOI: https://doi.org/10.1007/s11276-014-0856-1

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