15 citations · 45 across the 10 of their papers we have counts for
15 papers
SoK: The MITRE ATT&CK Framework in Research and Practice
Shanto Roy, Emmanouil Panaousis, Cameron Noakes +3
The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and techniques, has been widely adopted by the cybersecurity industry as well as by academic researc…
FLVoogd: Robust And Privacy Preserving Federated Learning
Yuhang Tian, Rui Wang, Yanqi Qiao +2
In this work, we propose FLVoogd, an updated federated learning method in which servers and clients collaboratively eliminate Byzantine attacks while preserving privacy. In particu…
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
Akash Amalan, Rui Wang, Yanqi Qiao +2
Federated learning is an emerging concept in the domain of distributed machine learning. This concept has enabled GANs to benefit from the rich distributed training data while pres…
HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles
Sakshyam Panda, Stefan Rass, Sotiris Moschoyiannis +3
The Internet of Vehicles (IoV), whereby interconnected vehicles communicate with each other and with road infrastructure on a common network, has promising socio-economic benefits…
Multi-Stage Threat Modelling and Security Monitoring in 5GCN
Robert Pell, Sotiris Moschoyiannis, Emmanouil Panaousis
The fifth generation of mobile networks (5G) promises a range of new capabilities including higher data rates and more connected users. To support the new capabilities and use case…
Towards Dynamic Threat Modelling in 5G Core Networks Based on MITRE ATT&CK
Robert Pell, Sotiris Moschoyiannis, Emmanouil Panaousis +1
This article discusses how the gap between early 5G network threat assessments and an adversarial Tactics, Techniques, Procedures (TTPs) knowledge base for future use in the MITRE…