English(EN) Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models

LLM和RAG增强SDN中的DDoS攻击检测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-27 04:00

研究人员开发了一个新的框架，使用检索增强生成（RAG）和大型语言模型（LLM）来检测和缓解软件定义网络（SDN）中的地毯式轰炸DDoS攻击。该方法利用流量特征、语义嵌入和LLM推理进行实时分类，无需传统的监督训练。实验显示出高准确性和稳定性，其中Gemma-4-31B-IT模型配置产生了最佳的检测结果，证明了该集成对于自适应SDN安全性的有效性。 AI

影响将LLM集成到网络安全中，用于高级威胁检测和缓解。

排序理由这是一篇研究论文，详细介绍了一种使用LLM和RAG的网络安全新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是一篇研究论文，详细介绍了一种使用LLM和RAG的网络安全新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Mohammed N. Swileh, Shengli Zhang, Kai Lei · 2026-05-27 04:00

基于检索增强生成和大型语言模型的SDN中地毯式轰炸DDoS攻击的智能检测与缓解

arXiv:2605.26307v1 Announce Type: cross Abstract: Software-Defined Networking (SDN) provides flexible and programmable network management; however, its centralized control architecture remains highly vulnerable to Distributed Denial-of-Service (DDoS) attacks, particularly Carpet-…

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报道来源 [1]

基于检索增强生成和大型语言模型的SDN中地毯式轰炸DDoS攻击的智能检测与缓解

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