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SDN环境下基于Renyi熵的低速率分布式拒绝攻击的检测 被引量:3

Detection of Low Rate DDoS Attacks Based on Renyi Entropy in SDN Environment
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摘要 针对现在对低速率分布式拒绝攻击的研究不足,提出了一种在软件定义网络(SDN)环境下,利用Renyi熵来检测L-DDoS的方法.该方法首先在控制器上收集PACKET_IN数据包,然后基于目的 IP来计算Renyi熵,最后通过设定一定的阈值来检测异常流量.实验结果表明:相比于利用香农熵的检测方法,该方法通过调整一定目的 IP熵的阶数可以检测L-DDoS攻击流量从而降低误警率. At present,since the research of the L-DDoS attack is not too much,a method of detecting L-DDoS using Renyi entropy based on a software defined network( SDN) was proposed. Firstly,PACKET_IN data packets were collected on controller,and then the Renyi entropy was calculated based on destination IP. Finally setting a threshold was used to detect abnormal traffic. The experimental results showed that compared with the Shannon entropy detection method,this method can detect the L-DDoS attack traffic and reduce the false alarm rate by adjusting the number of orders.
出处 《中南民族大学学报(自然科学版)》 CAS 北大核心 2017年第3期131-136,共6页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 国家民委教改基金资助项目(15013)
关键词 低速率分布式拒绝攻击 因特网安全 软件定义网络 RENYI熵 误警率 L-DDoS Internet security software defined network Renyi entropy false alarm rate
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