4 citations · 15 across the 7 of their papers we have counts for
15 papers
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…
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…
DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks
Timo Nolle, Alexander Seeliger, Nils Thoma +1
In this paper, we propose DeepAlign, a novel approach to multi-perspective process anomaly correction, based on recurrent neural networks and bidirectional beam search. At the core…
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…