通信学报2026，Vol.47Issue(8)：30-46,17.DOI:10.11959/j.issn.1000-436x.TXXB260193
GP-SR:基于GNN-PPO的低轨卫星网络安全路由优化算法
GP-SR:GNN-PPO-based secure routing optimization algorithm for low earth orbit satellite networks
摘要
Abstract
To address the routing optimization problem in low earth orbit(LEO)satellite networks under conditions of rapidly changing topology,locally observable states,and concurrent security attacks,a GNN-PPO based secure routing(GP-SR)algorithm was proposed,a risk-sensitive intelligent routing algorithm based on graph neural networks and proxi-mal policy optimization.The algorithm modelled distributed routing decision-making as a partially observable Markov decision process,leveraged history-enhanced observations to mitigate incomplete state information,and jointly opti-mized performance rewards and security costs,guiding the policy to improve network performance while proactively avoiding high-risk links and anomalous nodes.Simulation results show that GP-SR outperforms baseline algorithms in end-to-end delay,throughput,and packet delivery ratio,and demonstrates stronger robustness and adaptability under pro-gressively intensified attack scenarios.关键词
低轨卫星网络/GP-SR算法/部分可观测马尔可夫决策过程/安全攻击Key words
low earth orbit satellite network/GP-SR algorithm/partially observable Markov decision process/security attack分类
信息技术与安全科学引用本文复制引用
尹斌,刘建,唐小妹,马春江,马鹏程..GP-SR:基于GNN-PPO的低轨卫星网络安全路由优化算法[J].通信学报,2026,47(8):30-46,17.基金项目
国家自然科学基金资助项目(No.12501031) The National Natural Science Foundation of China(No.12501031) （No.12501031）
