Secure Opportunistic Vehicle-to-Vehicle Communication

  • Alexandra-Elena Mihaita
  • Ciprian Dobre
  • Florin Pop
  • Constandinos X. Mavromoustakis
  • George Mastorakis
Part of the Studies in Big Data book series (SBD, volume 22)


How much time do you spend stuck in traffic? Well, the average person spends around 43 hours a year stuck just because of the over-populated streets. The road infrastructure is something that cannot be easily improved, which is why the field of Intelligent Transportation Systems (ITS) has emerged. The most common example of such systems is the navigators which integrate the location monitoring of drivers with the services that help predict faster(or at least, most pleasant) alternative route(s). But, since everyone tries to find the optimal route, conflict of interest between the drivers can appear: one driver can choose to send bad data in order to give a false image of the map and gain advantages. The present chapter describes a solution to create a security mechanism in the context of ITS. The solution is a heterogeneous solution in which both symmetrical and asymmetrical encryption are used. Section 1 makes a short introduction into the field of ITS with its main challenges. The related work is then presented in Sect. 2. A theoretical approach (see Sect. 3) over the security mechanism proposed in the chapter is then made, followed by the practical description of the implementation (Sect. 4) and the constructive details (Sect. 5). Section 6 presents the experimental evaluation and the results of the security proposal. Finally, the conclusion are presented in the final Sect. 7 and some future work is mentioned.


Malicious Node Advance Encryption Standard Security Mechanism Certificate Authority Intelligent Transportation System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The research in this paper is supported by national project MobiWay—Mobility beyond Individualism (PN-II-PT-PCCA-2013-4-0321), and by national project DataWay—Real-time Data Processing Platform for Smart Cities: Making sense of Big Data (PN-II-RU-TE-2014-4-2731). The authors would like to thank the reviewers for their time and expertise, constructive comments and valuable insight.


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Alexandra-Elena Mihaita
    • 1
  • Ciprian Dobre
    • 1
  • Florin Pop
    • 1
  • Constandinos X. Mavromoustakis
    • 2
  • George Mastorakis
    • 3
  1. 1.Faculty of Automatic Control and ComputersUniversity Politehnica of BucharestBucharestRomania
  2. 2.Department of Computer ScienceUniversity of NicosiaEn-gomiCyprus
  3. 3.Department of Informatics EngineeringTechnological Educational Institute of CreteHeraklionGreece

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