摘要
分布式拒绝服务(Distributed Denial of Service,简称DDoS)攻击是互联网的重要威胁之一。笔者通过分析DDoS攻击的原理及其攻击特征,从延长检测响应时间和减少计算复杂度的角度提出了一种DDoS攻击的检测方法。该方法基于DDoS攻击的流量特征,提取有效的流量特征参数,并根据参数变化及时、准确地判断DDoS攻击的发生时间。实验结果证明,该方法能迅速有效地检测到DDoS攻击,并对其他网络安全异常检测具有指导作用。
The distributed denial of service(DDoS)attack is a major threat to the security of network.By analysing of the principle and charactoristics of DDoS attack,a kind of DDoS attack detection method is proposed in this paper to improve response time and reduce the computational complexity.Based on the traffic features of DDoS attack,extracting effective traffic characteristic parameters,DDoS attack can be detected timely and accurately according to the change of these parameters.The experimental results show the effectiveness of the method in early detecting DDoS attacks.Also,this method can be applied to other network security detection researches.
作者
王华
耿伟
孙运东
Wang Hua;Geng Wei;Sun Yundong(Jiangsu Vocational College of Information Technology,Wuxi Jiangsu 214000,China)
出处
《信息与电脑》
2019年第22期36-38,共3页
Information & Computer
关键词
分布式拒绝服务
流特征
攻击检测
distributed denial of service
traffic features
attack detection
