12 citations · 22 across the 7 of their papers we have counts for
7 papers
Improving the Identification of Real-world Malware's DNS Covert Channels Using Locality Sensitive Hashing
Pascal Ruffing, Denis Petrov, Sebastian Zillien +1
Nowadays, malware increasingly uses DNS-based covert channels in order to evade detection and maintain stealthy communication with its command-and-control servers. While prior work…
Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences
Denis Petrov, Pascal Ruffing, Sebastian Zillien +1
In recent years, malware with tunneling (or: covert channel) capabilities is on the rise. While malware research led to several methods and innovations, the detection and different…
Reconstruction of proton relative stopping power with a granular calorimeter detector model
M. Aehle, J. Alme, G. G. Barnaföldi +49
Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons…
A Survey of Internet Censorship and its Measurement: Methodology, Trends, and Challenges
Steffen Wendzel, Simon Volpert, Sebastian Zillien +3
Internet censorship limits the access of nodes residing within a specific network environment to the public Internet, and vice versa. During the last decade, techniques for conduct…
Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter
M. Aehle, J. Alme, C. Arata +74
We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter…
DYST (Did You See That?): An Amplified Covert Channel That Points To Previously Seen Data
Steffen Wendzel, Tobias Schmidbauer, Sebastian Zillien +1
Covert channels are stealthy communication channels that enable manifold adversary and legitimate scenarios, ranging from malware communications to the exchange of confidential inf…
Exploration of Differentiability in a Proton Computed Tomography Simulation Framework
Max Aehle, Johan Alme, Gergely Gábor Barnaföldi +47
Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulati…