An evaluation of Deep Learning-based models for Intrusion Detection in Industrial Control Systems
Industrial Control Systems (ICS) have been compromised by cyber-attacks with the development of computer and network technologies over the past few decades. Intrusion Detection Systems (IDSs) play a significant role in ensuring information security, and the key mechanism is to identify various attacks in the network accurately. One common strategy when implementing an IDS is to use a machine-learn
