The need to defend computers and networks against attack is becoming increasingly topical. While much research in this area is formal computer science, some aspects explicitly involve data analysis, including anomaly detection, dynamic graph analysis, and malware classification.

This workshop is intended to gather active academic researchers, from areas such as statistics and data mining, to describe and develop the current state-of-the-art in data-analytic aspects of network cybersecurity.

The workshop is supported by the Heilbronn Institute for Mathematical Research (HIMR), University of Bristol.