首页|SDN中DDoS攻击细粒度检测技术探讨

SDN中DDoS攻击细粒度检测技术探讨

扫码查看
在SDN中对DDoS攻击进行检测的关键在于轻量化与实时性的保障,但现阶段DDoS检测方法多以特定攻击手段为关注点,不能在多攻击场景下有效保持轻量化及实时性.针对这一问题,本文提出一种基于CNN的细粒度检测技术,力求做到对轻量化和实时性的兼顾,实现大量场景的快速检测.
Fine-grained Detection Technique of DDoS Attack in SDN
The key to detect DDoS attacks in SDN is the guarantee of lightweight and real-time.However,at this stage,DDoS detection methods mostly focus on specific attack means,and can not effectively maintain lightweight and real-time in multi-attack scenarios.In view of this problem,this paper proposes a fine-grained detection technology based on CNN,striving to achieve both lightweight and real-time,and realize the rapid detection of a large number of scenarios.

software-defined networkDDoS attackconvolutional neural networkfine-grained detection

李小菲、陈义

展开 >

河北大学信息技术中心,河北 保定 071002

河北大学计算机教学部,河北 保定 071001

软件定义网络 DDoS攻击 卷积神经网络 细粒度检测

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(10)