Enhancing IDS Robustness through Adaptive Statistical Feature Selection with Kneedle-Driven Thresholding
The rapid advancement of Internet of Things (IoT) ecosystems demands an Intrusion Detection System (IDS) architecture evolution to maintain a secure network. Statistical filters such as Chi-Square, ANOVA, and Pearson Correlation have worked well, but they usually rely on fixed thresholds, which do not work well across...