IEEE

Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...
IEEE

Detection of Drone and Non-Drone Objects with Machine Learning Methods Using Visual Data

Abstract: Nowadays, with the development of technology, the use of drones has increased in different areas. It is used effectively in many areas, especially defense, shopping, exploration, photography ...
gadgets360

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...