Fast Revocation of Attribute-Based Credentials for Both Users and Verifiers

Autor: Lueks, W., Alpár, G., Hoepman, J.-H., Vullers, P., Federrath, H., Gollmann, D.

Publikováno v: Federrath, H.; Gollmann, D. (ed.), ICT Systems Security and Privacy Protection, pp. 463-478
IFIP Advances in Information and Communication Technology ; 455, 463-478. Berlin : Springer International Publishing
STARTPAGE=463;ENDPAGE=478;TITLE=IFIP Advances in Information and Communication Technology ; 455
ICT Systems Security and Privacy Protection ISBN: 9783319184661
SEC

Attribute-based credentials allow a user to prove properties about herself anonymously. Revoking such credentials, which requires singling them out, is hard because it is at odds with anonymity. All revocation schemes proposed to date either sacrific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293cbf32f90fec560cb7cce7a0591d18
https://hdl.handle.net/2066/141411

Entwicklung eines selbstlernenden Risikoscores an Real-World-Datenquellen: Die RABATT-Studie. (German)

Autor: Schwaneberg, T., Debus, E. S., Repgen, T., Trute, H.-H., Müller, T., Federrath, H., Marschall, U., Behrendt, C.-A.

Publikováno v: Gefaesschirurgie; May2019, Vol. 24 Issue 3, p234-238, 5p

Behavior-based tracking: Exploiting characteristic patterns in DNS traffic

Autor: Herrmann, D., Banse, C., Federrath, H.

We review and evaluate three techniques that allow a passive adversary to track users who have dynamic IP addresses based on characteristic behavioral patterns, i.e., without cookies or similar techniques. For this purpose we consider 1-Nearest-Neigh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______610::9218dd6cf10215027bf7621f711f14e9
https://publica.fraunhofer.de/handle/publica/232675

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