LSTM-PPO: A Hybrid Deep Reinforcement Learning Framework with Asymmetric Reward Engineering for Real-Time Intrusion Detection in IIoT and SCADA Networks
The integration of SCADA systems with the Industrial Internet of Things (IIoT) has dramatically expanded the attack surface of critical infrastructure. Traditional intrusion detection systems (IDS) struggle with evolving threats, class imbalance (attack samples often <5%), and real-time constraints (<100 ms). Deep rein...