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cs.CR2026
mopri - An Analysis Framework for Unveiling Privacy Violations in Mobile Apps
Cornell Ziepel, Stephan Escher, Sebastian Rehms +1
Everyday services of society increasingly rely on mobile applications, resulting in a conflicting situation between the possibility of participation on the one side and user privac…
cs.CR2024
Information Inference Diagrams: Complementing Privacy and Security Analyses Beyond Data Flows
Sebastian Rehms, Stefan Köpsell, Verena Klös +1
This work introduces Information Inference Diagrams (I2Ds), a modeling framework aiming to complement existing approaches for privacy and security analysis of distributed systems.…
cs.CR2022
Secure and Efficient Tunneling of MACsec for Modern Industrial Use Cases
Tim Lackorzynski, Sebastian Rehms, Tao Li +2
Trends like Industry 4.0 will pose new challenges for future industrial networks. Greater interconnectedness, higher data volumes as well as new requirements for speeds as well as…