Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

Abstract: The rapid growth of Internet of Things (IoT) networks has introduced challenges in securing large-scale, real-time environments against evolving cyber threats. This study evaluates scalable ...

Abstract: This paper presents a comprehensive evaluation of the Multi-Layer Perceptron (MLP) and ensemble learning classifiers, including Random Forest, GBM (Gradient Boosting Machine) and XGBoost, ...

Smart home security no longer has to look like security. The latest reporting on discreet systems shows how sensors, cameras ...