JI Haoyuan,YIN Wenhao.Research on Intelligent Agent for Civil Aviation Air Traffic Control Zero-Trust Policy Orchestration based on Prompt Engineering[J].Journal of Chengdu University of Information Technology,2025,40(06):819-823.[doi:10.16836/j.cnki.jcuit.2025.06.012]
基于提示词工程的民航空管零信任策略编排智能体研究
- Title:
- Research on Intelligent Agent for Civil Aviation Air Traffic Control Zero-Trust Policy Orchestration based on Prompt Engineering
- 文章编号:
- 2096-1618(2025)06-0819-05
- Keywords:
- zero trust strategy orchestration; prompt engineering; large language models; civil aviation air traffic control
- 分类号:
- TP309
- 文献标志码:
- A
- 摘要:
- 随着民航空管领域信息化技术快速迭代,零信任已成为空管领域保障网络安全的关键技术。空管领域因其外部访问需求多样化,传统的零信任策略编排面临的快速响应需求与低下人工编排效率的矛盾日益凸显。本文阐述了在空管实践工作中构建的一种基于提示词工程的民航空管零信任策略编排智能体。通过收集空管场景专属语料库、设计提示词工程,经“输入—改写—识别—响应—校验—输出”的流程,实现从“人类自然语言需求”到“可信的安全策略配置”的快速转化。结果表明:智能体生成策略基于语义的回答准确性达92%,时间开销仅需人工编排耗时的1/60。从空管场景适配性和策略编排视角研究了大语言模型的应用成效,研究成果可为提升民航关键信息基础设施网络安全防护水平提供重要的实践参考。
- Abstract:
- With the rapid iteration of information technology in the civil aviation air traffic control(ATC)domain, zero trust has become a critical technology for safeguarding network security in this field. Due to the diverse external access requirements in the ATC sector, the contradiction between the rapid response needs and the low efficiency of manual orchestration in traditional zero trust policy orchestration has become increasingly prominent. This paper presents an intelligent agent for civil aviation ATC zero trust policy orchestration based on prompt engineering constructed in practical ATC work. By collecting ATC scenario-specific corpora and designing prompt engineering, through the process of “input-rewriting-recognition-response-verification-output”, it achieves the rapid transformation from “human natural language requirements” to “trusted security policy configurations”. Experimental results show that the accuracy of semantic answers in policies generated by the intelligent agent reaches 92%, with a time overhead of only 1/60 of manual orchestration. This paper studies the application effectiveness of large language models from the perspectives of ATC scenario adaptability and policy orchestration, and the research results can provide important practical references for improving the network security protection level of civil aviation critical information infrastructure.
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备注/Memo
收稿日期:2025-06-30
通信作者:戢浩源.E-mail:jhy57127349@live.com