A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation

Autor: David Kaul, Marcel von Maltitz, Maximilian Niyazi, Claus Belka, D.F. Fleischmann, Hendrik Ballhausen, Georg Carle

Publikováno v: JMIR Medical Informatics, Vol 9, Iss 1, p e22158 (2021)
JMIR Medical Informatics

Background Patient data is considered particularly sensitive personal data. Privacy regulations strictly govern the use of patient data and restrict their exchange. However, medical research can benefit from multicentric studies in which patient data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d16d2fe9cb089df787ebc15bcd69f2f2
http://medinform.jmir.org/2021/1/e22158/

Leveraging Secure Multiparty Computation in the Internet of Things

Autor: Marcel von Maltitz, Georg Carle

Publikováno v: MobiSys

Centralized systems in the Internet of Things---be it local middleware or cloud-based services---fail to fundamentally address privacy of the collected data. We propose an architecture featuring secure multiparty computation at its core in order to r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ec240f8fec547b5432dbeb1ca39837
https://doi.org/10.1145/3210240.3223569

A management framework for secure multiparty computation in dynamic environments

Autor: Marcel von Maltitz, Holger Kinkelin, Stefan Smarzly, Georg Carle

Publikováno v: NOMS

Secure multiparty computation (SMC) is a promising technology for privacy-preserving collaborative computation. In the last years several feasibility studies have shown its practical applicability in different fields. However, it is recognized that a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f6444f7b1a368646924cd270020a72e
https://doi.org/10.1109/noms.2018.8406322

Privacy Assessment Using Static Taint Analysis (Tool Paper)

Autor: Marcel von Maltitz, Cornelius Diekmann, Georg Carle

Publikováno v: Formal Techniques for Distributed Objects, Components, and Systems ISBN: 9783319602240
FORTE
Lecture Notes in Computer Science
37th International Conference on Formal Techniques for Distributed Objects, Components, and Systems (FORTE)
37th International Conference on Formal Techniques for Distributed Objects, Components, and Systems (FORTE), Jun 2017, Neuchâtel, Switzerland. pp.225-235, ⟨10.1007/978-3-319-60225-7_16⟩

International audience; When developing and maintaining distributed systems, auditing privacy properties gains more and more relevance. Nevertheless, this task is lacking support of automated tools and, hence, is mostly carried out manually. We prese

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90aacdfd0f1eaf9ba8fa1d1ad0a803e5
https://doi.org/10.1007/978-3-319-60225-7_16