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基于多层加权聚类的网络攻击检测方法研究 被引量:1

Network Attack Detection Method Research on Multi-Layer Weighted Clustering
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摘要 提出了一种基于多层加权聚类的网络攻击检测方法,通过计算多层聚类加权的均值,设定每个攻击事件的加权平均值,对异构多层攻击进行有效整合,解决了多层攻击事件检测结果不一致带来的检测不准的问题。实验证明,这种方法能够有效整合多层攻击事件,保证了网络的安全,取得了满意的结果。 We propose a network attack detection method based on multi-layer weighted clustering in this paper. The average value of weighted of each attack is set and heterogeneous multi-layer attack is mixed together effectively by calculating the average value of multi-layer clustering weighted. The problem that the detection is not accurate caused by the inconsistent detection result of multi-layer attack is resolved. The experiment shows that the multi-layer attack can be mixed together effectively to ensure the security of the network and the satisfactory result is obtained.
作者 凌云
出处 《苏州大学学报(工科版)》 CAS 2011年第6期65-69,共5页 Journal of Soochow University Engineering Science Edition (Bimonthly)
关键词 网络攻击 加权均值 模糊聚类 network attack average value of weighted fuzzy clustering
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