A Systematic Review of AI-Driven Intrusion Detection and Performance Optimization in Wireless Sensor Networks
The study analyzes the most recent progress in ML and DL methods used to develop IDS that operate in WSNs through analysis of their primary algorithms and algorithmic combinations and concludes that the DL and hybrid approaches are superior to conventional ML algorithms in handling complicated and imbalanced datasets.