Description of Invention
ThreatVision is a machine learning model that overcomes the shortcomings of conventional cybersecurity solutions by real-time network anomaly detection. Through the integration of supervised and unsupervised learning, ThreatVision enhances detection accuracy and adjusts to new threats. The model detects known and new attacks using datasets such as UNSW-NB 15 and IoT-23. By cutting down on manual updates and reaction times, this proactive strategy improves network security and provides a progressive countermeasure to ever-evolving cyberthreats.