Abstract:
SIRS worm propagation model is provided and its stability is anal sized. When R0<1, worm will disappear finally. When R0>1, “local plague” of worm will appear. The model fits well with worm data from CAIDA when testing the model with these data. At the same time, the influence on worm control of different policies is analyzed, such as host losing immunity to worm, shutting down host or cutting off network timely when host is infected, and vaccinating actively.
Key words:
worm,
propagation model,
stability
摘要: 提出SIRS蠕虫传播模型并对其稳定性进行分析,当R0<1时,网络最终将处于“无病”状态,当R0>1时,将出现蠕虫“地方病”。利用CAIDA提供的蠕虫数据进行检验,结果表明模型与实际数据吻合。基于该模型,分析了主机不能保持免疫力、感染蠕虫后及时关机或断开网络、主机主动免疫等不同策略对蠕虫控制的影响。
关键词:
蠕虫,
传播模型,
稳定性
CLC Number:
PENG Jun-hao; XU Guo-ai; ZHU Zhen-rong; YANG Yi-xian. SIRS Worm Propagation Model and Its Analysis[J]. Computer Engineering, 2008, 34(7): 134-136.
彭俊好;徐国爱;朱振荣;杨义先 . SIRS蠕虫传播模型及其分析[J]. 计算机工程, 2008, 34(7): 134-136.