Anonymous certification for an e-assessment framework

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

doi:10.1007/978-3-319-70290-2_5

Anonymous certification for an e-assessment framework

Université Paris-Saclay

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

Abstract

We present an anonymous certification scheme that provides data minimization to allow the learners of an e-assessment platform to reveal only required information to certificate authority providers. Attribute-based signature schemes are considered as a promising cryptographic primitive for building privacy-preserving attribute credentials, also known as anonymous credentials. These mechanisms allow the derivation of certified attributes by the issuing authority relying on non-interactive protocols and enable end-users to authenticate with verifiers in a pseudonymous manner, e.g., by providing only the minimum amount of information to service providers.

Original language	English
Title of host publication	Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings
Editors	Aikaterini Mitrokotsa, Helger Lipmaa, Raimundas Matulevicius
Publisher	Springer Verlag
Pages	70-85
Number of pages	16
ISBN (Print)	9783319702896
DOIs	https://doi.org/10.1007/978-3-319-70290-2_5
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	22nd Nordic Conference on Secure IT Systems, NordSec 2017 - Tartu, Estonia Duration: 8 Nov 2017 → 10 Nov 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10674 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd Nordic Conference on Secure IT Systems, NordSec 2017
Country/Territory	Estonia
City	Tartu
Period	8/11/17 → 10/11/17

Keywords

Anonymous certification
Attribute-based credentials
Attribute-based signatures
Bilinear pairings
Privacy
e-Assessment applications

Access to Document

10.1007/978-3-319-70290-2_5

Cite this

Kiennert, C., Kaaniche, N., Laurent, M., Rocher, P. O., & Garcia-Alfaro, J. (2017). Anonymous certification for an e-assessment framework. In A. Mitrokotsa, H. Lipmaa, & R. Matulevicius (Eds.), Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings (pp. 70-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10674 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70290-2_5

Kiennert, Christophe ; Kaaniche, Nesrine ; Laurent, Maryline et al. / Anonymous certification for an e-assessment framework. Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings. editor / Aikaterini Mitrokotsa ; Helger Lipmaa ; Raimundas Matulevicius. Springer Verlag, 2017. pp. 70-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Anonymous certification for an e-assessment framework",

abstract = "We present an anonymous certification scheme that provides data minimization to allow the learners of an e-assessment platform to reveal only required information to certificate authority providers. Attribute-based signature schemes are considered as a promising cryptographic primitive for building privacy-preserving attribute credentials, also known as anonymous credentials. These mechanisms allow the derivation of certified attributes by the issuing authority relying on non-interactive protocols and enable end-users to authenticate with verifiers in a pseudonymous manner, e.g., by providing only the minimum amount of information to service providers.",

keywords = "Anonymous certification, Attribute-based credentials, Attribute-based signatures, Bilinear pairings, Privacy, e-Assessment applications",

author = "Christophe Kiennert and Nesrine Kaaniche and Maryline Laurent and Rocher, \{Pierre Olivier\} and Joaquin Garcia-Alfaro",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 22nd Nordic Conference on Secure IT Systems, NordSec 2017 ; Conference date: 08-11-2017 Through 10-11-2017",

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doi = "10.1007/978-3-319-70290-2\_5",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Kiennert, C , Kaaniche, N , Laurent, M, Rocher, PO & Garcia-Alfaro, J 2017, Anonymous certification for an e-assessment framework. in A Mitrokotsa, H Lipmaa & R Matulevicius (eds), Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10674 LNCS, Springer Verlag, pp. 70-85, 22nd Nordic Conference on Secure IT Systems, NordSec 2017, Tartu, Estonia, 8/11/17. https://doi.org/10.1007/978-3-319-70290-2_5

Anonymous certification for an e-assessment framework. / Kiennert, Christophe ; Kaaniche, Nesrine ; Laurent, Maryline et al.
Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings. ed. / Aikaterini Mitrokotsa; Helger Lipmaa; Raimundas Matulevicius. Springer Verlag, 2017. p. 70-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10674 LNCS).

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

TY - GEN

T1 - Anonymous certification for an e-assessment framework

AU - Kiennert, Christophe

AU - Kaaniche, Nesrine

AU - Laurent, Maryline

AU - Rocher, Pierre Olivier

AU - Garcia-Alfaro, Joaquin

PY - 2017/1/1

Y1 - 2017/1/1

N2 - We present an anonymous certification scheme that provides data minimization to allow the learners of an e-assessment platform to reveal only required information to certificate authority providers. Attribute-based signature schemes are considered as a promising cryptographic primitive for building privacy-preserving attribute credentials, also known as anonymous credentials. These mechanisms allow the derivation of certified attributes by the issuing authority relying on non-interactive protocols and enable end-users to authenticate with verifiers in a pseudonymous manner, e.g., by providing only the minimum amount of information to service providers.

AB - We present an anonymous certification scheme that provides data minimization to allow the learners of an e-assessment platform to reveal only required information to certificate authority providers. Attribute-based signature schemes are considered as a promising cryptographic primitive for building privacy-preserving attribute credentials, also known as anonymous credentials. These mechanisms allow the derivation of certified attributes by the issuing authority relying on non-interactive protocols and enable end-users to authenticate with verifiers in a pseudonymous manner, e.g., by providing only the minimum amount of information to service providers.

KW - Anonymous certification

KW - Attribute-based credentials

KW - Attribute-based signatures

KW - Bilinear pairings

KW - Privacy

KW - e-Assessment applications

UR - https://www.scopus.com/pages/publications/85034274208

U2 - 10.1007/978-3-319-70290-2_5

DO - 10.1007/978-3-319-70290-2_5

M3 - Conference contribution

AN - SCOPUS:85034274208

SN - 9783319702896

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 70

EP - 85

BT - Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings

A2 - Mitrokotsa, Aikaterini

A2 - Lipmaa, Helger

A2 - Matulevicius, Raimundas

PB - Springer Verlag

T2 - 22nd Nordic Conference on Secure IT Systems, NordSec 2017

Y2 - 8 November 2017 through 10 November 2017

ER -

Kiennert C , Kaaniche N , Laurent M, Rocher PO, Garcia-Alfaro J. Anonymous certification for an e-assessment framework. In Mitrokotsa A, Lipmaa H, Matulevicius R, editors, Secure IT Systems - 22nd Nordic Conference, NordSec 2017, Proceedings. Springer Verlag. 2017. p. 70-85. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-70290-2_5

Anonymous certification for an e-assessment framework

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