节点文献
基于大语言模型的融媒体网络安全系统研究
Research on the Convergence Media Network Security System Based on Large Language Models
【摘要】 本文研究了数字化转型背景下省市县一体化融媒体用户数量激增所引发的网络安全及管理问题,针对该挑战,本文提出了一种基于大语言模型的智能化动态网络安全防护体系,通过部署高精度网络安全风险实时检测方案,为平台提供了一种将大语言模型与网络安全及管理相结合的应用案例。同时分析了满足用户广泛安全需求的发展方向,并为同类平台的安全建设提供了重要参考。
【Abstract】 This paper studies the network security and management issues triggered by the increasing number of users in the province-city-county-integrated convergence media network under the current shift of digital transformation.In response to this challenge,this paper proposes an intelligent and dynamic network security protection system based on large language models.By deploying a high-precision real-time cybersecurity risk detection scheme,it provides an application case for combining large language models with cybersecurity and management for the platform.At the same time,it analyzes the development direction that meets the extensive security needs of users and provides important references for the security construction of similar platforms.
【Key words】 Large Language Model; Convergence media; Network security; Artificial Intelligence;
- 【文献出处】 广播与电视技术 ,Radio & TV Broadcast Engineering , 编辑部邮箱 ,2025年09期
- 【分类号】TP18;TP393.08
- 【下载频次】11