Poster: Generative Resilient Network Architecture in Untrusted Network Environments

In adversarial and untrusted network environments characterized by strict traffic controls and infrastructure surveillance, communications face persistent threats to reliability, security, and accessibility. To counter these challenges, we present the Generative Resilient Network (GRN), a three-layer architecture that combines cloud-based resource agility, hybrid secure transmission, and large language model (LLM)-driven adaptive control to maintain connectivity under adversarial conditions. Preliminary experiments demonstrate GRN’s scalability, robustness, and resilience against interference across both low-latency and high-anonymity scenarios.