基于FSS时间序列分析的DDoS检测算法OACSCDCSTPCD
Distributed Denial of Service Detection Algorithm Based on FSS Time Series Analysis
通过分析分布式拒绝服务(DDoS)攻击的特征和攻击发生时效据流五元组熵值的变化,提出一种基于数据流结构稳定性(FSS)的检测算法.采用AR自回归模型估计FSS时间序列多维特征参数,使用经过样本训练的支持向量机对特征参数进行分类来识别攻击.经实验验证,该算法具备较高的检测质量.
Through the analysis of the Distributed Denial of Service(DDoS) attack characteristics and the entropy changes of data flow five-tuple during the attacks, this paper proposes a detection model based on data Flow Struct Stability(FSS). This method through AR autoregression model to estimate multi-dimensional characteristic parameter of FSS time series, then classifies Support Vector Machine(SVM) with sample training into several categories and uses these resu…Search
王硕;赵荣彩;单征
信息工程大学信息工程学院,郑州450002信息工程大学信息工程学院,郑州450002信息工程大学信息工程学院,郑州450002
信息技术与安全科学
分布式拒绝服务攻击五元组熵自回归模型时间序列支持向量机
Distributed Denial of Service(DDoS) attack five-tuple entropy autoregressive model time series Support Vector Machine(SVM)
《计算机工程》 2012 (12)
13-16,4