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基于XDR平台+安全GPT大模型组合的铁路互联网应用防护策略研究

Railway Internet application protection strategy based on combination of XDR platform+security GPT large model

  • 摘要: 针对当前铁路互联网应用面临的网络攻击威胁,研究基于可扩展安全威胁检测与响应(XDR,eXtended Detection and Response)平台+安全生成式预训练变换器(GPT,Generative Pre-trained Transformer)大模型组合的防护策略。通过整合补强铁路局集团公司传统安全设备,构建XDR平台和安全GPT大模型组合架构,实现对互联网应用纵深防护。该防护策略可有效增强网络攻击检测防御能力,提高网络安全运营管理效率,为铁路互联网应用安全运行提供新的解决方案。

     

    Abstract: Aiming at the network attack threat faced by the current railway Internet applications, this paper studied the protection strategy based on the combination of the XDR (eXextended Detection and Response) platform + security GPT (Generic Pre trained Transformer) large model. By integrating and strengthening the traditional security equipment of the Railway Group Co. Ltd., the paper constructed a combined architecture of XDR platform and security GPT model to implement in-depth protection of Internet applications. This protection strategy could effectively enhance the network attack detection and defense capability, improve the efficiency of network security operation management, and provide new solutions for the safe operation of railway Internet applications.

     

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