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Found 2 papers, 2 papers with code
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Anomaly-based intrusion detection promises to detect novel or unknown attacks on industrial control systems by modeling expected system behavior and raising corresponding alarms for any deviations. As manually creating these behavioral models is tedious and error-prone, research focuses on machine learning to train them automatically, achieving detection rates upwards of 99%.
How to Securely Prune Bitcoin's Blockchain
Bitcoin was the first successful decentralized cryptocurrency and remains the most popular of its kind to this day.
Cryptography and Security Networking and Internet Architecture
