Harmonized Group Mix for ITS

Mirja Nitschke, Christian Roth, Christian Hoyer, DoÄŸan KesdoÄŸan

Abstract

Vehicle-to-Vehicle (V2V) communication is crucial for almost all future applications in the context of smart traffic, such as autonomous driving. However, while current standards like WAVE provide a technical platform for communication and management, they lack aspects of privacy for their participants. In this paper, we introduce a Harmonized Group Mix (HGM), an architecture suited to exchange information in ITS, compatible with current standards. HGM does not rely on expensive Road-Side-Units (RSUs) or complex organizational relationships to introduce a trust anchor but is built on the concept of peer-to-peer networks. Hence, our proposal does not require any changes to current environments and is eventually easy to deploy in the real world. Our proposed method provides k-anonymity using group signatures and splits trust between multiple parties. At the same time, the integrity of the system is preserved. We evaluate our approach using the simulation framework Veins. Our experiments show that HGM is feasible from a performance and privacy perspective in the given context.

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Paper Citation


in Harvard Style

Nitschke M., Roth C., Hoyer C. and KesdoÄŸan D. (2020). Harmonized Group Mix for ITS.In Proceedings of the 6th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-399-5, pages 152-163. DOI: 10.5220/0008989101520163


in Bibtex Style

@conference{icissp20,
author={Mirja Nitschke and Christian Roth and Christian Hoyer and DoÄŸan KesdoÄŸan},
title={Harmonized Group Mix for ITS},
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2020},
pages={152-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008989101520163},
isbn={978-989-758-399-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Harmonized Group Mix for ITS
SN - 978-989-758-399-5
AU - Nitschke M.
AU - Roth C.
AU - Hoyer C.
AU - KesdoÄŸan D.
PY - 2020
SP - 152
EP - 163
DO - 10.5220/0008989101520163