Funke, Sebastian ; Wiesmaier, Alexander ; Daubert, Jörg (2017)
Constrained PET Composition for Measuring Enforced Privacy.
doi: 10.1145/3098954.3098968
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Privacy Enhancing Technologies (PETs) are well-defined, domain-specific means to preserve information privacy in computerized systems, i.e., by protecting Personally Identifiable Information (PII). We believe that increasing privacy awareness and governance will lead to wider adoption of PETs in service infrastructures. To support that, a better understanding of privacy-enhanced services composed out of multiple PETs is necessary. To the best of the authors' knowledge, there is no general domain-independent and formal PET model and research about their composition is missing.
The work at hand presents a formal, set-based and domain-independent taxonomy model for PETs, along with an algebra for constrained composition of PETs. The measurement of enforced privacy in service infrastructures with deployed PETs is one of many use cases for such a PET algebra and is demonstrated subsequently in a scenario with two exemplary privacy-enhanced services.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Funke, Sebastian ; Wiesmaier, Alexander ; Daubert, Jörg |
| Art des Eintrags: | Bibliographie |
| Titel: | Constrained PET Composition for Measuring Enforced Privacy |
| Sprache: | Englisch |
| Publikationsjahr: | September 2017 |
| Verlag: | ACM |
| Buchtitel: | Proceedings of the 12th International Conference on Availability, Reliability and Security (ARES) |
| DOI: | 10.1145/3098954.3098968 |
| Kurzbeschreibung (Abstract): | Privacy Enhancing Technologies (PETs) are well-defined, domain-specific means to preserve information privacy in computerized systems, i.e., by protecting Personally Identifiable Information (PII). We believe that increasing privacy awareness and governance will lead to wider adoption of PETs in service infrastructures. To support that, a better understanding of privacy-enhanced services composed out of multiple PETs is necessary. To the best of the authors' knowledge, there is no general domain-independent and formal PET model and research about their composition is missing. The work at hand presents a formal, set-based and domain-independent taxonomy model for PETs, along with an algebra for constrained composition of PETs. The measurement of enforced privacy in service infrastructures with deployed PETs is one of many use cases for such a PET algebra and is demonstrated subsequently in a scenario with two exemplary privacy-enhanced services. |
| Freie Schlagworte: | SPIN: Smart Protection in Infrastructures and Networks; Solutions; S1 |
| ID-Nummer: | TUD-CS-2017-0114 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen |
| Hinterlegungsdatum: | 23 Mai 2017 18:31 |
| Letzte Änderung: | 07 Mai 2019 13:38 |
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