Complex Network Analysis for Cybersecurity – CNACYS 2025

The Internet, the Web, on-line social networks and almost all interactions in the cyber space can be modeled as complex networks sharing nontrivial topological features such as spareness, small-world feature, heterogeneous degree distribution and high clustering coefficient. Complex network analysis has raised a lot of attention in recent years in a wide variety of fields including social, technological, biological, and power-grid networks. A rich algorithmic arsenal is already available to gain insights from such networks including identifying influential or vulnerable actors, link prediction, anomalies detection, community identification as well as understanding and predicting spreading phenomena on such networks. This special session aims at providing a venue for sharing latest advances in applying complex networks analysis to cybersecurity.

Topics of interest comprise but are not limited to:

Special session chairs

Special session program committee