An efficient method for network traffic anomaly detection based on SHAP and deep learning
To address the critical challenge of Denial-of-Service (DoS) attack detection in wireless sensor networks (WSNs), this study proposes an efficient anomaly detection framework that synergistically integrates SHAP (SHapley Additive exPlanations) for feature int…
Citation: Fang Z, Xuan P, Ding H (2026) An efficient method for network traffic anomaly detection based on SHAP and deep learning. PLoS One 21(8): e0356069. https://doi.org/10.1371/journal.pone.03… [+70461 chars]