Local self-organization with strong privacy protection

Lucjan Hanzlik; Kamil Kluczniak; Miroslaw Kutyłowski; Shlomi Dolev

doi:10.1109/TrustCom.2016.0138

Local self-organization with strong privacy protection

Lucjan Hanzlik, Kamil Kluczniak, Miroslaw Kutyłowski, Shlomi Dolev

Department of Computer Science

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	American English
Title of host publication	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
Pages	775-782
Number of pages	8
ISBN (Electronic)	9781509032051
DOIs	https://doi.org/10.1109/TrustCom.2016.0138
State	Published - 1 Jan 2016
Event	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 ... - Tianjin, China Duration: 23 Aug 2016 → 26 Aug 2016

Publication series

Name	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

Conference

Conference	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 ...
Country/Territory	China
City	Tianjin
Period	23/08/16 → 26/08/16

Keywords

Authentication
Privacy
Vehicular networks

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Information Systems
Safety, Risk, Reliability and Quality

Access to Document

10.1109/TrustCom.2016.0138

Cite this

Hanzlik, L., Kluczniak, K., Kutyłowski, M., & Dolev, S. (2016). Local self-organization with strong privacy protection. In 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 (pp. 775-782). Article 7847021 (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). https://doi.org/10.1109/TrustCom.2016.0138

Hanzlik, Lucjan ; Kluczniak, Kamil ; Kutyłowski, Miroslaw et al. / Local self-organization with strong privacy protection. 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. 2016. pp. 775-782 (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).

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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.",

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author = "Lucjan Hanzlik and Kamil Kluczniak and Miroslaw Kuty{\l}owski and Shlomi Dolev",

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Hanzlik, L, Kluczniak, K, Kutyłowski, M & Dolev, S 2016, Local self-organization with strong privacy protection. in 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., 7847021, 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, pp. 775-782, 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 ..., Tianjin, China, 23/08/16. https://doi.org/10.1109/TrustCom.2016.0138

Local self-organization with strong privacy protection. / Hanzlik, Lucjan; Kluczniak, Kamil; Kutyłowski, Miroslaw et al.
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. 2016. p. 775-782 7847021 (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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kluczniak, Kamil

AU - Kutyłowski, Miroslaw

AU - Dolev, Shlomi

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N2 - 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.

AB - 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.

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M3 - Conference contribution

T3 - 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

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T2 - 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 ...

Y2 - 23 August 2016 through 26 August 2016

ER -

Hanzlik L, Kluczniak K, Kutyłowski M, Dolev S. Local self-organization with strong privacy protection. In 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. 2016. p. 775-782. 7847021. (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). doi: 10.1109/TrustCom.2016.0138

Local self-organization with strong privacy protection

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

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