Data Science for Cyber-Security
The use of data science for cyber-security applications is a relatively new paradigm. This includes deployment of statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, risk management, and more.
This conference aims to showcase cutting-edge research in statistical cyber-security in academia, business and government, as well as help align these endeavours.
In addition to invited talks by leading researchers, we also welcome contributed talks on relevant subjects.
This is the third of a biennial series of workshops on the topic. Published proceedings from the previous workshops are below: