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近年来网络病毒传播已对网络安全构成严重威胁.研究表明,互联网宏观拓扑结构与病毒传播有很大关系.度相关性是互联网宏观拓扑的一个重要特征,度相关性的改变意味着互联网拓扑结构的变化.通过度相关特征分析,发现互联网的异配性呈现减弱趋势;本文使用DPR算法构造连续匹配系数的网络拓扑,以便在具有不同匹配系数上的网络上进行病毒传播实验,以此研究病毒的传播速度、稳态感染率、传播临界值;然后根据传统病毒传播模型SIS,建立了适合因特网上的病毒传播模型SIS-DVDI,并进行病毒传播实验,分析了病毒传播的稳态特性和瞬态特性;最后根据先前仿真实验得出的结论探讨了网络病毒的防护措施.
In recent years, the spread of network viruses has posed a serious threat to network security.Research shows that the macro topology of the Internet is closely related to the spread of viruses.Degree of correlation is an important feature of the macro-topology of the Internet, and the change of degree correlation means that the Internet topology The degree of correlation analysis shows that the heterogeneity of the Internet shows a weakening trend.This paper uses DPR algorithm to construct the network topology with continuous matching coefficients so as to study the virus transmission experiment on networks with different matching coefficients According to the traditional virus transmission model SIS, a virus propagation model SIS-DVDI which is suitable for the Internet was established, and the virus transmission experiment was carried out. The steady-state characteristics and instantaneous transmission of the virus were analyzed State characteristics; Finally, based on the conclusions of the previous simulation experiments to explore the network virus protection measures.