IEEE

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...
The Strategist

China’s AI use for cyber espionage shifts cyber focus from detection to trust

The question facing security and technology leaders is no longer whether adversaries will deploy AI agents against their environment. Now, those leaders must ask whether their trust architecture, ...
IEEE

Cybersecurity in Cloud Computing AI-Driven Intrusion Detection and Mitigation Strategies

Abstract: This paper explores the development and evaluation of advanced machine learning models for intrusion detection in cloud environments. We focus on Transformer-based Spatio-Temporal Graph ...
Scientific Research Publishing

IoT Security System Based on Software Defined Network with Manufacturer Usage Description ()

Sakamoto, T. and Sato, K. (2026) IoT Security System Based on Software Defined Network with Manufacturer Usage Description.

Revolutionary Substance Detection Service Uses Trained Rats

Advancing Detection Capabilities Wesley Chapel, United States – December 4, 2025 / GradenMedia.com / The Canary Detection System is a high-performance, enterprise-grade intrusion detection solution ...
GitHub

Automated Neural Architecture Design for Industrial Defect Detection

This is an official implementation of our paper AutoNAD [IEEE/ASME Transactions on Mechatronics, 2025]. The datasets used in this project need to be download from here (The datasets have been ...