activity
20122020
most citedPrettyCat: Adaptive guarantee-controlled software partitioning of security protocols

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CR2020

Covid Notions: Towards Formal Definitions -- and Documented Understanding -- of Privacy Goals and Claimed Protection in Proximity-Tracing Services

Christiane Kuhn, Martin Beck, Thorsten Strufe

The recent SARS-CoV-2 pandemic gave rise to management approaches using mobile apps for contact tracing. The corresponding apps track individuals and their interactions, to facilit…

cs.CR2019

Breaking and (Partially) Fixing Provably Secure Onion Routing

Christiane Kuhn, Martin Beck, Thorsten Strufe

After several years of research on onion routing, Camenisch and Lysyanskaya, in an attempt at rigorous analysis, defined an ideal functionality in the universal composability model…

cs.CR2019

On Privacy Notions in Anonymous Communication

Christiane Kuhn, Martin Beck, Stefan Schiffner +2

Many anonymous communication networks (ACNs) with different privacy goals have been developed. However, there are no accepted formal definitions of privacy and ACNs often define th…

cs.CR2018

An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version)

Kilian Becher, Martin Beck, Thorsten Strufe

Benchmarking is an important measure for companies to investigate their performance and to increase efficiency. As companies usually are reluctant to provide their key performance…

cs.CR20174 cited

PrettyCat: Adaptive guarantee-controlled software partitioning of security protocols

Alexander Senier, Martin Beck, Thorsten Strufe

One single error can result in a total compromise of all security in today's large, monolithic software. Partitioning of software can help simplify code-review and verification, wh…

cs.CR2012

Approximate Two-Party Privacy-Preserving String Matching with Linear Complexity

Martin Beck, Florian Kerschbaum

Consider two parties who want to compare their strings, e.g., genomes, but do not want to reveal them to each other. We present a system for privacy-preserving matching of strings,…