On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection 事件

On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection arXiv:2606.01442v1 Announce Type: cross Abstract: Network intrusion detection is a core component of modern cybersecurity infrastructure, yet the deep learning models that dominate the field are computationally demanding, motivating interest in lightweight alternatives suited to edge and neuromorphic deployment. Spiking Neural Networks (SNNs) are therefore a natural candidate, but their design space, span