Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier
Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier
复制标题
使用神经网络分类器检测针对 DNS 服务器的 DDoS 攻击
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Baoping Yan
中科院分区：
文献类型：
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作者：
Jun Wu;Xin Wang;Xiaodong Lee;Baoping Yan
随着分布式拒绝服务（DDoS）攻击的快速增长，攻击的识别和检测成为一个至关重要的问题。本文提出了一种基于神经网络的域名系统DDoS攻击检测方法。基于所选择的反映DDoS攻击特征的特征，采用多层前馈神经网络作为分类器。对神经网络分类器的性能和计算效率进行了评价。
With the rapid growth of the distributed denial of service (DDoS) attacks, the identification and detection of attacks has become a crucial issue. In this paper we present a neural network approach to detecting the DDoS attacks towards the domain name system. A multilayer feed-forward neural network is employed as a classifier based on the selected features that reflect the characteristics of DDoS attacks. The performance and the computational efficiency of the neural network classifier are both evaluated.