The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Introduction: The New Frontier of Cyber Risk in Healthcare While hospitals and clinics have long guarded patient data against traditional ...