33 citations · 148 across the 11 of their papers we have counts for
11 papers
Towards Robust Domain Generation Algorithm Classification
Arthur Drichel, Marc Meyer, Ulrike Meyer
In this work, we conduct a comprehensive study on the robustness of domain generation algorithm (DGA) classifiers. We implement 32 white-box attacks, 19 of which are very effective…
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers
Arthur Drichel, Ulrike Meyer
The problem of revealing botnet activity through Domain Generation Algorithm (DGA) detection seems to be solved, considering that available deep learning classifiers achieve accura…
Detecting Unknown DGAs without Context Information
Arthur Drichel, Justus von Brandt, Ulrike Meyer
New malware emerges at a rapid pace and often incorporates Domain Generation Algorithms (DGAs) to avoid blocking the malware's connection to the command and control (C2) server. Cu…
CoinPrune: Shrinking Bitcoin's Blockchain Retrospectively
Roman Matzutt, Benedikt Kalde, Jan Pennekamp +3
Popular cryptocurrencies continue to face serious scalability issues due to their ever-growing blockchains. Thus, modern blockchain designs began to prune old blocks and rely on re…
Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection
Benedikt Holmes, Arthur Drichel, Ulrike Meyer
The goal of Domain Generation Algorithm (DGA) detection is to recognize infections with bot malware and is often done with help of Machine Learning approaches that classify non-res…
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Arthur Drichel, Benedikt Holmes, Justus von Brandt +1
Domain generation algorithms (DGAs) prevent the connection between a botnet and its master from being blocked by generating a large number of domain names. Promising single-data-so…
Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
Arthur Drichel, Vincent Drury, Justus von Brandt +1
Current popular phishing prevention techniques mainly utilize reactive blocklists, which leave a ``window of opportunity'' for attackers during which victims are unprotected. One p…
First Step Towards EXPLAINable DGA Multiclass Classification
Arthur Drichel, Nils Faerber, Ulrike Meyer
Numerous malware families rely on domain generation algorithms (DGAs) to establish a connection to their command and control (C2) server. Counteracting DGAs, several machine learni…
Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers
Arthur Drichel, Ulrike Meyer, Samuel Schüppen +1
Numerous machine learning classifiers have been proposed for binary classification of domain names as either benign or malicious, and even for multiclass classification to identify…
Analyzing the Real-World Applicability of DGA Classifiers
Arthur Drichel, Ulrike Meyer, Samuel Schüppen +1
Separating benign domains from domains generated by DGAs with the help of a binary classifier is a well-studied problem for which promising performance results have been published.…
How to Securely Prune Bitcoin's Blockchain
Roman Matzutt, Benedikt Kalde, Jan Pennekamp +3
Bitcoin was the first successful decentralized cryptocurrency and remains the most popular of its kind to this day. Despite the benefits of its blockchain, Bitcoin still faces seri…