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基于CUSUM的自适应攻击检测 被引量:5
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作者 赖会霞 马剑波 张仕 《福建师范大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第5期34-39,共6页
为了能够快速发现DDoS攻击,尽量减小或避免其危害,基于CUSUM算法,以发送和接收数据包数量比例为特征量,提出一种快速的DDoS攻击检测算法.并通过动态调整期望值和警告阈值,使算法具有更好的适应性,能够运用于不同的网络环境.最后通过实... 为了能够快速发现DDoS攻击,尽量减小或避免其危害,基于CUSUM算法,以发送和接收数据包数量比例为特征量,提出一种快速的DDoS攻击检测算法.并通过动态调整期望值和警告阈值,使算法具有更好的适应性,能够运用于不同的网络环境.最后通过实验对算法进行验证. 展开更多
关键词 DDOS CUSUM算法 自适应攻击检测
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自适应网络攻击滑动检测窗口模型研究
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作者 钟锐 《教育界(高等教育)》 2011年第5期66-67,共2页
目前网络入侵检测系统是将所采集下来的大量网络数据包以固定长度的滑动检测窗口进行分段后,才能实施攻击检测。该检测模式无法适应目前网络攻击的多样性,本文提出了自适应网络攻击滑动检测窗口模型,该模型综合使用了信息熵与聚类算... 目前网络入侵检测系统是将所采集下来的大量网络数据包以固定长度的滑动检测窗口进行分段后,才能实施攻击检测。该检测模式无法适应目前网络攻击的多样性,本文提出了自适应网络攻击滑动检测窗口模型,该模型综合使用了信息熵与聚类算法实现了网络攻击滑动检测窗口长度的动态调整,从而保证入侵检测系统检测率与实时性。 展开更多
关键词 自适应网络攻击滑动检测窗口模型 信息熵 聚类算法
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Modeling and Simulation of Low Rate of Denial of Service Attacks
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《International English Education Research》 2014年第1期31-34,共4页
The low-rate denial of service attack is more applicable to the network in recent years as a means of attack, which is different from the traditional field type DoS attacks at the network end system or network using a... The low-rate denial of service attack is more applicable to the network in recent years as a means of attack, which is different from the traditional field type DoS attacks at the network end system or network using adaptive mechanisms exist loopholes flow through the low-rate periodic attacks on the implementation of high-efficiency attacked by an intruder and not be found, resulting in loss of user data or a computer deadlock. LDos attack since there has been extensive attention of researchers, the attack signature analysis and detection methods to prevent network security have become an important research topic. Some have been proposed for the current attacks were classified LDoS describe and model, and then in NS-2 platform for experimental verification, and then LDoS attack detection to prevent difficulties are discussed and summarized for the future such attacks detection method research work to provide a reference. 展开更多
关键词 Low-Rate Denial of Service Attacks Congestion Control Attack Prevention Network Security
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