The DOI matches its Crossref record, with a small difference in title or year.
Introduction
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Apart from gaining selective disclosure, users have more control over their linkability because of the non-binding properties of the derived tokens. It is not possible to know which credential they come from once they are generated.”
From A Trusted Approach for Decentralised and Privacy-Preserving Identity Management (2021) · cites this paper as [16]
In the citing paper
“Unlike X.509, P-ABCs enable the user to derive one-time use tokens that reveal strictly necessary information, for e.g., certifying that the user is older than a certain age.”
From A Trusted Approach for Decentralised and Privacy-Preserving Identity Management (2021) · cites this paper as [16]
Citations
Cites
Still being checked.
Research works printed but not linked: 4
- Jan Camenisch, Simone Fischer-H¨ubner, and Kai Rannenberg, editors. Privacy and Identity Management for Life. Springer Berlin Heidelberg, 2011. ISBN: 978-3-642-20316-9. · DOI
- Jan Camenisch, Ronald Leenes, and Dieter Sommer, editors. Digital Privacy: PRIME - Privacy and Identity Management for Europe, volume 6545 of Lecture Notes in Computer Science. Springer, 2011. · doi:10.1007/978-3-642-19050-6
- Kai Rannenberg, Denis Royer, and Andr´e Deuker, editors. The Future of Identity in the Information Society Challenges and Opportunities. Springer, 2009. ISBN: 978-3-540-88480-07. · DOI
- Markus Tschersich, Christian Kahl, Stephan Heim, Stephen Crane, Katja B¨ottcher, Ioannis Krontiris, and Kai Rannenberg. Towards privacy-enhanced mobile communitiesarchitecture, concepts and user trials. Journal of Systems and Software, 84(11):1947–1960, 2011. · doi:10.1016/j.jss.2011.06.048
Cited by
A Trusted Approach for Decentralised and Privacy-Preserving Identity Management
Moreno, R. T., Garcia-Rodriguez, J., Bernabe, J. B., & Skarmeta, A. (2021) · IEEE Access · doi:10.1109/access.2021.3099837 · Cited by 33
Metadata
- Authors
- Rannenberg, K., Tesfay, W., & Sabouri, A.
- Affiliations
- Goethe University Frankfurt (DE)
- Corresponding author
- Rannenberg, Kai
- Venue
- Attribute-based Credentials for Trust
- Publisher
- Springer International Publishing
- Published
- 2014-12-21
- Pages
- 1-9
- OpenAlex
- W4239370937
- Cited by
- 0
- References
- 0
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- identity management, privacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Introduction. https://app.cochat.ai/papers/10.1007/978-3-319-14439-9_1
- The paper
- Rannenberg, K., Tesfay, W., & Sabouri, A. (2015). Introduction. Attribute-based Credentials for Trust. https://doi.org/10.1007/978-3-319-14439-9_1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
