Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...

Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...

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 ...

1 Shandong University of Traditional Chinese Medicine, Jinan, China 2 Shandong University Affiliated Shandong Provincial Third Hospital Department of Clinical Laboratory, Jinan, China Introduction: ...

The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based defenses have ...

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) ...

With the rise of AI, cyberattacks have become more advanced, frequent and devastating—especially as threats like insider attacks, credential theft and lateral movement bypass traditional ...