Devdiscourse

AI can secure IoT devices without heavy computing power

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
Frontiers

Convolutional neural networks and mixture of experts for intrusion detection in 5G networks and beyond

Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece The advent of 6G/NextG networks offers numerous benefits, ...
IEEE

Mining Multi-Scale Spatial-Frequency Clues for Unsupervised Intrusion Detection

Abstract: Unsupervised network-based intrusion detection system (UNIDS) identifies suspicious traffic and alerts administrators without using any traffic labels. Existing Graph Convolutional Network ...
Frontiers

Design of a real-time abnormal detection system for rotating machinery based on YOLOv8

College of Robotics, Guangdong Polytechnic of Science and Technology, Zhuhai, Guangdong, China To address the issues of low detection accuracy and poor real-time performance in existing methods for ...
IEEE

A Network Based Intrusion Detection System For Internet Of Medical Things Using Deep Learning Approach

Abstract: Due to the technology’s rapid development overall, humans are expected to live alongside it very soon. Because of the development of information and communications technology, all of these ...