摘要
As the traditional methods were not suitable for the detection of small distribute denial of service(DDoS)attack and identification of busy traffic,on the basis of the influence of DDoS attack,one wavelet analysis method was proposed.Wavelet method of coefficient variance analysis was deduced and a software model for the method was designed.In addition,key issues of the choice of wavelet and calculation of Hurst were resolved.The experimental results show that the proposed method has more advantages in accurately identifying busy traffic and detection of small DDoS attack.
基金
sponsored by the National Natural Science Foundation of China(Grant Nos.60573141,70271050)
the Hi-Tech Research and Development Program of China(Nos.2005AA775050,2006AA01Z219,2006AA01Z201,2006AA01Z439)
the Natural Science Foundation of Jiangsu Province(No.BK2005146)
High Technology Research Programme of Jiangsu Province(Nos.BG2005037,BG2006001)
High Technology Research Programme of Nanjing(No.2006RZ105)
Foundation of State Key Laboratory for Modern Communications(No.9140C1101010603)
Key Laboratory of Information Technology processing of Jiangsu Province(Nos.kjs05001,kjs0606)
Project sponsored by Jiangsu Provincial Research Scheme Of Natural Science for Higher Education Institutions(No.05KJB520092)
Table 3 Hurst results with traditional methods VTP Periodogram R/S Whittle 0.73540.76580.72530.7556。
