Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Intrusion Detection Systems form a cornerstone of modern cybersecurity ... Cloud-native solutions for this use machine learning to analyse files, network traffic, and user behaviour without requiring ...
AZoRobotics on MSN
AI-Powered Blockchain Model Defends 6G Networks From Cyberattacks With 97 % Accuracy
This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...
The Internet of Things represents a shift in the architecture of our digital world, embedding computational intelligence into ...
Advanced sensor technologies and data analytics can proactively identify grid hazards, enhancing safety and operational ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...
Every day, millions of people pass through walk-through metal detectors at airports, schools, concert venues, courthouses, ...
Interesting Engineering on MSN
New AI mapping system builds 3D maps in seconds for robot rescue missions
MIT’s new AI mapping system lets robots build accurate 3D maps in seconds, improving disaster rescue, VR, and industrial ...
Image Credit: Danielle Futselaar / Breakthrough Listen.
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