Some ideas on Bayesian modelling of networks for cyber-security applications
Date:
This talk discusses Bayesian models for network data, aimed at common tasks in computer network security: separation of human and automated activity, anomalous nodes detection, link prediction and community detection.
Joint work with Nick Heard (Imperial College London and Heilbronn Institute for Mathematical Research) and Melissa Turcotte (Los Alamos National Laboratory).