A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...

Critical cPanel flaw under attack, Copy Fail Linux privilege escalation, TeamPCP supply chain campaign, GitHub RCE & major ...

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

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

Abstract: Intrusion Detection Systems (IDS) are critical for identifying and mitigating potential security threats within network traffic. However, traditional IDS solutions often struggle with ...

The rapid growth of the Internet and the increasing reliance on digital systems have significantly expanded the global digital footprint, creating new challenges for cybersecurity. Artificial ...

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

ABSTRACT: The rapid advancement of autonomous agentic systems (AAS) has revolutionized critical sectors such as healthcare, finance, defense, and cybersecurity. However, their integration into these ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

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 ...