Zusammenfassung
Nowadays Vehicle-to-Vehicle communication (V2V) plays an increasingly important role, not only in terms of safety, but also in other areas of Intelligent Transport Systems (ITS). However, privacy is often underestimated in this context. In this paper we describe an extended version of our Harmonized Group Mix (HGM). HGM has the objective of enabling the privacy-friendly data exchange between ...
Zusammenfassung
Nowadays Vehicle-to-Vehicle communication (V2V) plays an increasingly important role, not only in terms of safety, but also in other areas of Intelligent Transport Systems (ITS). However, privacy is often underestimated in this context. In this paper we describe an extended version of our Harmonized Group Mix (HGM). HGM has the objective of enabling the privacy-friendly data exchange between vehicles in an ITS without neglecting other requirements such as integrity. In contrast to other approaches a complex organizational structure is not required and HGM is thus easily applicable. Rather, the idea of a Mix system is transferred to ITS communication, but the ITS-specific real-time requirements can still be met. The simultaneous use of group signatures can ensure a high degree of k-anonymity and prevent the tracking of participants. A distributed knowledge approach provides trust but at the same times allows revealing fraudsters. In addition to a detailed security analysis, this paper evaluates the approach using the simulation framework Veins and focuses on the exact vehicle movements and the groups formation respectively changes over time and their influence on each other.
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