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Found 3 papers, 1 papers with code
Vulnerability Forecasting: In theory and practice
It is possible to predict the volume of CVEs released in the NVD as much as a year in advance.
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
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 attacks in Industrial Control Systems (ICS).
Early Stage Malware Prediction Using Recurrent Neural Networks
Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted quickly by examining the features of an executable piece of code and matching it to previously observed malicious code.
Cryptography and Security
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