Physical Layer Anomaly Detection Via Adaptive Gaussian Mixture Model

Physical-layer spoofing attacks pose a critical threat to wireless localization systems by manipulating channel state information CSI. Detecting such attacks becomes particularly challenging when the attacker and the legitimate node are spatially proximate, as their CSI characteristics become...

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection

Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...