基于卡尔曼滤波的蠕虫检测方法

计算机科学 ›› 2009, Vol. 36 ›› Issue (4): 94-96.

基于卡尔曼滤波的蠕虫检测方法

邓妍戴冠中慕德俊刘思伟

西北工业大学自动化学院,西安710072

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家教育部博士点基金项目（20020699026）资助.

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

摘要/Abstract

摘要： 蠕虫对Internet安全构成了严重威胁，检测和防范蠕虫成为网络安全的研究课题。提出了一种基于卡尔曼滤波的蠕虫检测方法，建立适当的数学模型，给出相应的滤波方程，最后进行仿真分析。该方法可以利用实时量测信息不断地修正估计值。仿真结果表明，采用卡尔曼滤波能够快速有效地检测出蠕虫的爆发。

关键词: 网络安全蠕虫感染率卡尔曼滤波估计

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

邓妍戴冠中慕德俊刘思伟. 基于卡尔曼滤波的蠕虫检测方法[J]. 计算机科学, 2009, 36(4): 94-96. https://doi.org/

DENG Yan, DAI Guan-zhong, MU De-jun, LIU Si-wei （Department of Automation,Northwestern Polytechnical University,Xi＇an 710072,China）. [J]. Computer Science, 2009, 36(4): 94-96. https://doi.org/

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