Training Description
Key Takeaways
- Focuses on graph-based and knowledge-graph-based approaches for cybersecurity
- Addresses efficient analysis and interpretation of large-scale, heterogeneous security data
- Brings together academia and industry for research and practical discussions
- Covers topics such as attack graph modeling, anomaly detection, and network forensics
- Targets cybersecurity researchers, analysts, and professionals
The 7th International Workshop on Graph-based Approaches for CyberSecurity (GRASEC) is a specialized event held alongside the 21st International Conference on Availability, Reliability and Security (ARES 2026). This workshop is dedicated to advancing the use of graph-based and knowledge-graph-based techniques in cybersecurity, aiming to address the growing complexity of modern systems and the vast amounts of security-relevant data generated today.
Workshop Overview
GRASEC provides a platform for researchers and professionals to explore innovative methods for representing, correlating, and interpreting security data. The workshop emphasizes the importance of graph databases, modeling, mining, learning, and visualization in managing complex cybersecurity challenges. By fostering collaboration between academia and industry, the event encourages the exchange of both theoretical insights and practical solutions.
Participants will engage in discussions on a range of topics, including graph-based models for vulnerabilities, network modeling, and cyber situational awareness. The workshop also highlights the use of attack graph modeling, threat assessment, and network traffic analysis to enhance security operations.
Core Topics and Themes
The workshop covers a variety of subjects central to modern cybersecurity. Key areas include intrusion, anomaly, and botnet detection using graph data, as well as the application of knowledge graphs and ontologies for cyberspace and digital twins. Attendees will also explore graph-based approaches to access controls, security policies, and malware detection.
Advanced analytical techniques such as autoencoders, representation learning, and graph embedding for security are discussed, alongside methods for visualizing and analyzing dynamic, large-scale graphs. These topics are designed to equip participants with the tools needed to address the challenges of securing complex systems.
Audience and Experience
GRASEC is tailored for cybersecurity researchers, practitioners, and professionals from both academic and industry backgrounds. The workshop is particularly relevant for security analysts, data scientists, network security engineers, and graduate students interested in advanced data analysis and network security.
The event is held in-person in Linköping, Sweden, as part of the larger ARES 2026 conference. Attendees can expect a technical and academic environment focused on research presentations, knowledge sharing, and community building within the cybersecurity field.