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 ...
Devdiscourse

Industry 4.0 energy systems get security boost with AI and blockchain integration

Read more about Industry 4.0 energy systems get security boost with AI and blockchain integration on Devdiscourse ...

WitFoo Releases Largest Structured Open-Source Cybersecurity Dataset

Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
GitHub

Intrusion Detection System (IDS) with Machine Learning

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
The New York Times

48 Hours Without A.I.

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
IEEE

Machine Learning-Based Distributed Intrusion Detection System in Industrial Edge Environments: Challenge Identification

Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...