5 ways to fortify your network against the new speed of AI attacks

As attackers get more sophisticated and persistent, IT workers have to step up their game as well. Here's how to do that in ...
Computer Weekly

Gartner: How AI will transform managed network services

Network service providers are deploying artificial intelligence-powered tools for network admin tasks. Gartner looks at how ...
Times Caribbean Online

ST. KITTS’ ZEIDAN BASS CAPTIVATES UVI 2026 COMMENCEMENT AS STUDENT SPEAKER AND CYBERSECURITY HONORS GRADUATE

NEVIS DAILY FROM ST. PAUL’S TO THE GLOBAL CYBER FRONTLINE: ST. KITTS’ ZEIDAN BASS EMERGES AS UVI CYBERSECURITY STAR DURING ...
Devdiscourse

IoT threat detection moves to transparent, decentralized AI systems

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated learning and blockchain to enable secure, transparent, and collaborative ...
Cult of Mac

macOS Tahoe 26.4 breaks Time Machine network backups

macOS Tahoe 26.4 brings several new features to Macs. But it also breaks one critical functionality: Time Machine backups. The bug appears to affect backups over ...
IEEE

Wi-Fi Network Intrusion Detection: Enhanced with Feature Extraction and Machine Learning Algorithms

Abstract: Wireless Fidelity (Wi-Fi) is one of the most popular technologies for Internet connection. It helps users to connect to other devices by simply typing the correct password. It contributes to ...
IEEE

Machine learning-based intrusion detection and prevention using cross-layer features in Internet of Things (IoT) networks

Abstract: The IoT has emerged as a significant target for cyber-attacks, particularly with a focus on the routing protocol for low-power and lossy networks (RPL) within Wireless Sensor Networks (WSNs) ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...