LONDON, UNITED KINGDOM, January 13, 2026 /EINPresswire.com/ — Keeper’s unified, cloud-native PAM platform enables Atlassian Williams F1 Team to enforce zero-trust ...

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 ...

Police officers swarmed a 16-year-old high school student last week after an artificial intelligence (AI) gun detection system mistakenly flagged his bag of chips as a firearm, leaving officials and ...

Abstract: Intrusion Detection Systems (IDS) are critical to secure networks against changing cyber-attacks. This study brings improvements in IDS methods, machine learning (ML) and deep learning (DL) ...

1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...

Intrusion detection systems (IDS) and anomaly detection techniques are critical components of modern cybersecurity, enabling the identification of malicious activities and system irregularities in ...

This project is a real-time Intrusion Detection System (IDS) that captures and analyzes live network traffic to detect suspicious activity using machine learning. It is built on top of a custom Python ...

Abstract: Intrusion detection systems (IDSs) are relatively complex devices that monitor information systems in search for security violations or attacks. Following a presentation of the motivation, ...