PCS, A privacy-preserving certification scheme

Nesrine Kaaniche; Maryline Laurent; Pierre Olivier Rocher; Christophe Kiennert; Joaquin Garcia-Alfaro

doi:10.1007/978-3-319-67816-0_14

PCS, A privacy-preserving certification scheme

Nesrine Kaaniche, Maryline Laurent, Pierre Olivier Rocher, Christophe Kiennert, Joaquin Garcia-Alfaro

Université Paris-Saclay

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

Abstract

We present PCS, a privacy-preserving certification mechanism that allows users to conduct anonymous and unlinkable actions. The mechanism is built over an attribute-based signature construction. The proposal is proved secure against forgery and anonymity attacks. A use case on the integration of PCS to enhance the privacy of learners of an e-assessment environment, and some details of the ongoing implementation, are briefly presented.

Original language	English
Title of host publication	Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings
Editors	Joaquin Garcia-Alfaro, Jordi Herrera-Joancomarti, Guillermo Navarro-Arribas, Hannes Hartenstein
Publisher	Springer Verlag
Pages	239-256
Number of pages	18
ISBN (Print)	9783319678153
DOIs	https://doi.org/10.1007/978-3-319-67816-0_14
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	12th International Workshop on Data Privacy Management, DPM 2017 held in conjunction with 22nd European Symposium on Research in Computer Security, ESORICS 2017 and 1st International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2017 - Oslo, Norway Duration: 14 Sept 2017 → 15 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10436 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Workshop on Data Privacy Management, DPM 2017 held in conjunction with 22nd European Symposium on Research in Computer Security, ESORICS 2017 and 1st International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2017
Country/Territory	Norway
City	Oslo
Period	14/09/17 → 15/09/17

Keywords

Anonymity
Anonymous certification
Attribute-based credentials
Attribute-based signatures
Bilinear pairings

Access to Document

10.1007/978-3-319-67816-0_14

Cite this

Kaaniche, N., Laurent, M., Rocher, P. O., Kiennert, C., & Garcia-Alfaro, J. (2017). PCS, A privacy-preserving certification scheme. In J. Garcia-Alfaro, J. Herrera-Joancomarti, G. Navarro-Arribas, & H. Hartenstein (Eds.), Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings (pp. 239-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10436 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67816-0_14

Kaaniche, Nesrine ; Laurent, Maryline ; Rocher, Pierre Olivier et al. / PCS, A privacy-preserving certification scheme. Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings. editor / Joaquin Garcia-Alfaro ; Jordi Herrera-Joancomarti ; Guillermo Navarro-Arribas ; Hannes Hartenstein. Springer Verlag, 2017. pp. 239-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We present PCS, a privacy-preserving certification mechanism that allows users to conduct anonymous and unlinkable actions. The mechanism is built over an attribute-based signature construction. The proposal is proved secure against forgery and anonymity attacks. A use case on the integration of PCS to enhance the privacy of learners of an e-assessment environment, and some details of the ongoing implementation, are briefly presented.",

keywords = "Anonymity, Anonymous certification, Attribute-based credentials, Attribute-based signatures, Bilinear pairings",

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Kaaniche, N , Laurent, M, Rocher, PO, Kiennert, C & Garcia-Alfaro, J 2017, PCS, A privacy-preserving certification scheme. in J Garcia-Alfaro, J Herrera-Joancomarti, G Navarro-Arribas & H Hartenstein (eds), Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10436 LNCS, Springer Verlag, pp. 239-256, 12th International Workshop on Data Privacy Management, DPM 2017 held in conjunction with 22nd European Symposium on Research in Computer Security, ESORICS 2017 and 1st International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2017, Oslo, Norway, 14/09/17. https://doi.org/10.1007/978-3-319-67816-0_14

PCS, A privacy-preserving certification scheme. / Kaaniche, Nesrine ; Laurent, Maryline; Rocher, Pierre Olivier et al.
Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings. ed. / Joaquin Garcia-Alfaro; Jordi Herrera-Joancomarti; Guillermo Navarro-Arribas; Hannes Hartenstein. Springer Verlag, 2017. p. 239-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10436 LNCS).

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

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N1 - Publisher Copyright: © Springer International Publishing AG 2017.

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AB - We present PCS, a privacy-preserving certification mechanism that allows users to conduct anonymous and unlinkable actions. The mechanism is built over an attribute-based signature construction. The proposal is proved secure against forgery and anonymity attacks. A use case on the integration of PCS to enhance the privacy of learners of an e-assessment environment, and some details of the ongoing implementation, are briefly presented.

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KW - Bilinear pairings

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Y2 - 14 September 2017 through 15 September 2017

ER -

Kaaniche N , Laurent M, Rocher PO, Kiennert C , Garcia-Alfaro J. PCS, A privacy-preserving certification scheme. In Garcia-Alfaro J, Herrera-Joancomarti J, Navarro-Arribas G, Hartenstein H, editors, Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Proceedings. Springer Verlag. 2017. p. 239-256. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-67816-0_14

PCS, A privacy-preserving certification scheme

Abstract

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Keywords

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