Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

Researchers developed a framework to address catastrophic forgetting in IoT intrusion detection systems using continual learning approaches. The study benchmarked five methods across 48 attack domains, finding that replay-based approaches performed best overall while Synaptic Intelligence achieved near-zero forgetting with high efficiency.