3 papers
cs.CR2020
Vulnerability Forecasting: In theory and practice
Éireann Leverett, Matilda Rhode, Adam Wedgbury
Why wait for zero-days when you could predict them in advance? It is possible to predict the volume of CVEs released in the NVD as much as a year in advance. This can be done withi…
cs.LG2020
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
The proliferation and application of machine learning based Intrusion Detection Systems (IDS) have allowed for more flexibility and efficiency in the automated detection of cyber a…
cs.CR2019
Real-time malware process detection and automated process killing
Matilda Rhode, Pete Burnap, Adam Wedgbury
Perimeter-based detection is no longer sufficient for mitigating the threat posed by malicious software. This is evident as antivirus (AV) products are replaced by endpoint detecti…