AI-Driven Predictive Cyber Attack Simulator for Metaverse Security Testing

To create an AI-based predictive attack simulator that models future cyber threats targeting metaverse platforms and generates automated defense strategies through reinforcement learning-based threat response optimization.

Study adversarial machine learning.

Develop synthetic threat datasets.

Implement predictive modeling algorithms.

Simulate phishing, identity theft, and botnet attacks.

Design automated defense agent.

Measure attack success probability.

Optimize response strategies.

Visualize threat heatmaps.

Evaluate system robustness.

Prepare cybersecurity evaluation report.