Computer Science ›› 2009, Vol. 36 ›› Issue (4): 94-96.

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DENG Yan, DAI Guan-zhong, MU De-jun, LIU Si-wei (Department of Automation,Northwestern Polytechnical University,Xi'an 710072,China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Internet worm has severely threatened Internet security. To detect and defense the Internet worm becomes an important research topic in the field of network security. The estimator of worm infecting rate was proposed based on the Kalman filtering. The mat

Key words: Network security,Worm infecting rate,Kalman filtering, Estimation

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