26 September 2018, Alan Turing Institute, London, NW1 2DB
Data science techniques have an important role to play in the next generation of cyber-security defences. Inside a typical enterprise computer network, a number of high-volume data sources are available which could aid the discovery and prevention of cyber-attacks and network misuse. At Imperial, our interests are in developing statistical, probability model-based techniques for identifying illegitimate network activity using these data sources. This talk will give an overview of some different statistical approaches to analysing cyber data, ranging from micro-level models of activity occurring on individual graph edges up to representations of the full network graph.