76 citations · 77 across the 8 of their papers we have counts for
9 papers
An Approach to Generate Attack Graphs with a Case Study on Siemens PCS7 Blueprint for Water Treatment Plants
Lucas Miranda, Carlos Banjar, Daniel Menasche +3
Assessing the security posture of Industrial Control Systems (ICS) is critical for protecting essential infrastructure. However, the complexity and scale of these environments make…
A Transfer Learning Approach to Unveil the Role of Windows Common Configuration Enumerations in IEC 62443 Compliance
Miguel Bicudo, Estevão Rabello, Daniel Menasché +4
Industrial control systems (ICS) depend on highly heterogeneous environments where Linux, proprietary real-time operating systems, and Windows coexist. Although the IEC 62443-3-3 s…
Characterizing and Modeling the GitHub Security Advisories Review Pipeline
Claudio Segal, Paulo Segal, Carlos Eduardo Banjar +8
GitHub Security Advisories (GHSA) have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive featur…
AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
Yonatan Gizachew Achamyeleh, Tongtao Zhang, Joshua Hyunki Kim +4
Function name prediction is crucial for understanding stripped binaries in software reverse engineering, a key step for \textbf{enabling subsequent vulnerability analysis and patch…
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums
Felipe Moreno-Vera, Mateus Nogueira, Cainã Figueiredo +6
This paper proposes a machine learning-based approach for detecting the exploitation of vulnerabilities in the wild by monitoring underground hacking forums. The increasing volume…
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering
Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang +3
Mission-critical embedded software is critical to our society's infrastructure but can be subject to new security vulnerabilities as technology advances. When security issues arise…
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification
Julian Busch, Anton Kocheturov, Volker Tresp +1
Malicious software (malware) poses an increasing threat to the security of communication systems as the number of interconnected mobile devices increases exponentially. While some…
Deep Reinforcement Learning for DER Cyber-Attack Mitigation
Ciaran Roberts, Sy-Toan Ngo, Alexandre Milesi +7
The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, with fixed injection/consumption,…
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series
Anton Kocheturov, Petar Momcilovic, Azra Bihorac +1
Temporal Pattern Mining (TPM) is the problem of mining predictive complex temporal patterns from multivariate time series in a supervised setting. We develop a new method called th…