activity
20172020
most citedIntrinsic Rowhammer PUFs: Leveraging the Rowhammer Effect for Improved Security

72 citations · 97 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR202013 cited

A Security Architecture for Railway Signalling

Christian Schlehuber, Markus Heinrich, Tsvetoslava Vateva-Gurova +2

We present the proposed security architecture Deutsche Bahn plans to deploy to protect its trackside safety-critical signalling system against cyber-attacks. We first present the e…

cs.CR20202 cited

Rule-based Anomaly Detection for Railway Signalling Networks

Markus Heinrich, Arwed Gölz, Tolga Arul +1

We propose a rule-based anomaly detection system for railway signalling that mitigates attacks by a Dolev-Yao attacker who is able to inject control commands and to perform semanti…

cs.CR2019

Secure Computation of the kth-Ranked Element in a Star Network

Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser +2

We consider the problem of securely computing the kth-ranked element in a sequence of n private integers distributed among n parties. The kth-ranked element (e.g., minimum, maximum…

cs.CR2019

MagneticSpy: Exploiting Magnetometer in Mobile Devices for Website and Application Fingerprinting

Nikolay Matyunin, Yujue Wang, Tolga Arul +3

Recent studies have shown that aggregate CPU usage and power consumption traces on smartphones can leak information about applications running on the system or websites visited. In…

cs.CR201972 cited

Intrinsic Rowhammer PUFs: Leveraging the Rowhammer Effect for Improved Security

André Schaller, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos +4

Physically Unclonable Functions (PUFs) have become an important and promising hardware primitive for device fingerprinting, device identification, or key storage. Intrinsic PUFs le…

cs.CR20199 cited

On (The Lack Of) Location Privacy in Crowdsourcing Applications

Spyros Boukoros, Mathias Humbert, Stefan Katzenbeisser +1

Crowdsourcing enables application developers to benefit from large and diverse datasets at a low cost. Specifically, mobile crowdsourcing (MCS) leverages users' devices as sensors…