Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Haisong Bi, Jin Zhao, Kun Qiu, Tiezhen Jia, Yu Wang
Institution: Fudan University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4415124405