@inproceedings{9d9885fb56c445a6b8feb0fa39f2bc10,
title = "Local self-organization with strong privacy protection",
abstract = "We present a cryptographic approach to local self-organization in ad hoc systems such as virtual traffic lights. The cryptographic layer enables conversion of randomized self-organization into a deterministic setting in which it is not only possible to detect misconduct, but also prove it against third parties at a later time. Our main contribution is providing a high level of privacy protection-provable unlinkability. Thereby the proposed scheme fulfills the highest requirements of privacy-by-design principles introduced recently in Europe. This has been achieved despite that for traditional methods there is a strong trade-off between authentication strength and privacy.",
keywords = "Authentication, Privacy, Vehicular networks",
author = "Lucjan Hanzlik and Kamil Kluczniak and Miroslaw Kuty{\l}owski and Shlomi Dolev",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016 ; Conference date: 23-08-2016 Through 26-08-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.1109/TrustCom.2016.0138",
language = "English",
series = "Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "775--782",
booktitle = "Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016",
address = "United States",
}