To design an AI-based intrusion detection and anomaly monitoring system for metaverse platforms that identifies malicious behaviors such as avatar hijacking, phishing attempts, and distributed denial-of-service attacks in real time.
Study cybersecurity threats specific to virtual environments.
Develop simulated metaverse server environment.
Collect synthetic attack data for training machine learning models.
Implement anomaly detection using supervised and unsupervised ML algorithms.
Integrate real-time monitoring dashboard.
Develop alert notification system.
Test against simulated DDoS and phishing attacks.
Evaluate detection accuracy and false positives.
Strengthen encryption for user communication.
Document threat mitigation strategies.
