Sysdig reported what it describes as the first fully autonomous AI agent to execute a complete cyber intrusion, from initial ...
The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and ...
Unmanned Underwater Vehicles (UUVs) encompass both autonomous platforms that navigate and act without real-time human control ...
The thunderous roar of jet engines pierces the pre-dawn darkness as a formation of F-35 Lightning II fighters slides through ...
Cyber threats are evolving faster than traditional security teams can respond. Organizations across industries face sophisticated ransomware attacks, insider threats, phishing campaigns, advanced ...
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 ...
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 ...
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 ...
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) ...