计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2010年
6期
29-31,44
,共4页
分布式拒绝服务%网络自相似%小波分析%主成分分析
分佈式拒絕服務%網絡自相似%小波分析%主成分分析
분포식거절복무%망락자상사%소파분석%주성분분석
Distributed Denial of Service(DDoS)%network self-similarity%wavelet analysis%Principle Component Analysis(PCA)
为准确及时检测DDoS攻击,在研究小波分析法检测DDoS攻击的基础上,提出一种基于主成分分析法和小波分析法的自适应DDoS检测方法,设计采用该方法检测DDoS攻击的模型及算法,分析其增大正常网络流量与异常网络流量之间Hurst参数差值的原因.实验结果表明,该方法减弱了检测结果对门限值的依赖性,提高检测率,防止漏报、误报情况的发生,且由于网络数据维数的降低,该方法大幅提高了检测速度.
為準確及時檢測DDoS攻擊,在研究小波分析法檢測DDoS攻擊的基礎上,提齣一種基于主成分分析法和小波分析法的自適應DDoS檢測方法,設計採用該方法檢測DDoS攻擊的模型及算法,分析其增大正常網絡流量與異常網絡流量之間Hurst參數差值的原因.實驗結果錶明,該方法減弱瞭檢測結果對門限值的依賴性,提高檢測率,防止漏報、誤報情況的髮生,且由于網絡數據維數的降低,該方法大幅提高瞭檢測速度.
위준학급시검측DDoS공격,재연구소파분석법검측DDoS공격적기출상,제출일충기우주성분분석법화소파분석법적자괄응DDoS검측방법,설계채용해방법검측DDoS공격적모형급산법,분석기증대정상망락류량여이상망락류량지간Hurst삼수차치적원인.실험결과표명,해방법감약료검측결과대문한치적의뢰성,제고검측솔,방지루보、오보정황적발생,차유우망락수거유수적강저,해방법대폭제고료검측속도.
In order to detect Distributed Denial of Service(DDoS) attack accuratcly and timely,a new detection method based on Principle Component Analysis(PCA) and wavelet analysis is proposed.Software model and algorithm for detection of DDoS attack is presented.In addition,key reasons for the change of the Hurst’s value in the new method are analyzed.Experimental results show the method reduces the dependence for threshold,promotes the detection rate,avoids the situation of fail report and distort.It also improves the detection speed.
