102 citations · 216 across the 20 of their papers we have counts for
11 papers · 1 filter
The End of the Canonical IoT Botnet: A Measurement Study of Mirai's Descendants
Leon Böck, Valentin Sundermann, Isabella Fusari +3
Since the burgeoning days of IoT, Mirai has been established as the canonical IoT botnet. Not long after the public release of its code, researchers found many Mirai variants compe…
Mitigating Intersection Attacks in Anonymous Microblogging
Sarah Abdelwahab Gaballah, Thanh Hoang Long Nguyen, Lamya Abdullah +2
Anonymous microblogging systems are known to be vulnerable to intersection attacks due to network churn. An adversary that monitors all communications can leverage the churn to lea…
Malware Sight-Seeing: Accelerating Reverse-Engineering via Point-of-Interest-Beacons
August See, Maximilian Gehring, Max Mühlhäuser +2
New types of malware are emerging at concerning rates. However, analyzing malware via reverse engineering is still a time-consuming and mostly manual task. For this reason, it is n…
2PPS -- Publish/Subscribe with Provable Privacy
Sarah Abdelwahab Gaballah, Christoph Coijanovic, Thorsten Strufe +1
Publish/Subscribe systems like Twitter and Reddit let users communicate with many recipients without requiring prior personal connections. The content that participants of these sy…
User-Level Label Leakage from Gradients in Federated Learning
Aidmar Wainakh, Fabrizio Ventola, Till Müßig +6
Federated learning enables multiple users to build a joint model by sharing their model updates (gradients), while their raw data remains local on their devices. In contrast to the…
Enhancing Privacy via Hierarchical Federated Learning
Aidmar Wainakh, Alejandro Sanchez Guinea, Tim Grube +1
Federated learning suffers from several privacy-related issues that expose the participants to various threats. A number of these issues are aggravated by the centralized architect…
TRIDEnT: Building Decentralized Incentives for Collaborative Security
Nikolaos Alexopoulos, Emmanouil Vasilomanolakis, Stephane Le Roux +2
Sophisticated mass attacks, especially when exploiting zero-day vulnerabilities, have the potential to cause destructive damage to organizations and critical infrastructure. To tim…
On generating network traffic datasets with synthetic attacks for intrusion detection
Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh +2
Most research in the area of intrusion detection requires datasets to develop, evaluate or compare systems in one way or another. In this field, however, finding suitable datasets…
M-STAR: A Modular, Evidence-based Software Trustworthiness Framework
Nikolaos Alexopoulos, Sheikh Mahbub Habib, Steffen Schulz +1
Despite years of intensive research in the field of software vulnerabilities discovery, exploits are becoming ever more common. Consequently, it is more necessary than ever to choo…
I Trust my Zombies: A Trust-enabled Botnet
Emmanouil Vasilomanolakis, Jan Helge Wolf, Leon Böck +2
Defending against botnets has always been a cat and mouse game. Cyber-security researchers and government agencies attempt to detect and take down botnets by playing the role of th…
Beyond the Hype: On Using Blockchains in Trust Management for Authentication
Nikolaos Alexopoulos, Jörg Daubert, Max Mühlhäuser +1
Trust Management (TM) systems for authentication are vital to the security of online interactions, which are ubiquitous in our everyday lives. Various systems, like the Web PKI (X.…