The supervised machine-learning component uses an algorithm to compare abnormalities detected in the system to known attack templates. The unsupervised component uses an algorithm to detect any ...

We can trace the beginning of anomaly detection back to 1987 1 when researchers started building intrusion detection systems (IDS).

A technical paper titled “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level” was published by researchers at Virginia Tech and others. “As ...