A Triple-Verification Framework for Swift, Real-Time Detection of Anomalous Sensor Readings in Large-Scale IoT Systems
Due to the massive expansion of Internet of Things systems and the variety of anomalous data resulting from faulty sensors, cyberattacks, or communication failures, it has become difficult to handle this type of data. Although current machine learning and statistical analysis techniques offer high accuracy in detecting...