排序方式: 共有23条查询结果,搜索用时 343 毫秒
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从平面无线传感器网络的拓扑结构、无线共享通信及安全机制等固有特征出发,对无线传感器网络上的恶意软件传播动力学进行研究。首先,使用随机几何图建立平面无线传感器网络模型;然后,基于元胞自动机理论建立恶意软件SI(Susceptible—Infected)传播模型,该模型充分考虑无线传感器网络固有特征和传播特征,模型建立引入MAC机制和随机密钥预分布方案。分析和仿真表明,无线传感器网络的空间局域化结构特征、无线信道共享机制和安全管理应用主导了传播增长效果,限制了恶意软件传播速度,降低了在无线传感器网络中大规模流行恶意软件的风险。文中提出的模型能够描述无线传感器网络中恶意软件传播行为,为建立无线传感器网络安全防御机制提供了基础。 相似文献
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基于一维元胞自动机,研究复杂网络恶意软件传播行为.利用信息网络节点全局交互的特点,建立元胞自动机邻域和状态转换函数,提出恶意软件传播模型,研究在多种网络拓扑下恶意软件传播的概率行为.研究表明,该模型能够准确描述在最近邻耦合网络(nearest-neighbor coupled network, NC),Erdos-Renyi(ER)随机网络,Watts-Strogatz(WS) 小世界网络和Barabasi-Albert(BA)幂率网络等拓扑下的传播动力学行为,不仅能反映恶意软件传播的平均趋势,而且可以描述病毒消亡和渗透等稀有概率事件,有效克服基于平均场方法建立的微分方程模型只能反映传播的平均趋势,只适合对传播作整体预测的局限性.同时,研究指出网络中度分布的异质化程度和网络的局域空间交互特征是影响传播及免疫行为的关键要素.
关键词:
复杂网络
恶意软件传播
元胞自动机
状态转换函数 相似文献
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In this paper, we study the epidemic spreading in scale-free networks and propose a new susceptible-infected-recovered (SIR) model that includes the effect of individual vigilance. In our model, the effective spreading rate is dynamically adjusted with the time evolution at the vigilance period. Using the mean-field theory, an analytical result is derived. It shows that individual vigilance has no effect on the epidemic threshold. The numerical simulations agree well with the analytical result. Furthermore, we investigate the effect of individual vigilance on the epidemic spreading speed. It is shown that individual vigilance can slow the epidemic spreading speed effectively and delay the arrival of peak epidemic infection. 相似文献
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传统的谣言识别方法耗费人力物力并且准确率较低。为了有效识别社交网络中的谣言,提出一种基于融合模型的谣言识别方法.该方法首先通过BERT预训练模型构建文本句向量;其次构建TextCNN模型挖掘文本的语义特征,构建TextRNN模型用于挖掘文本的时序特征;最后,对两种模型进行加权融合,实现对谣言的识别.此外,还对原始主流模... 相似文献
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In this paper, we study worm dynamics in computer networks composed of many autonomous systems. A novel multigroup SIQR (susceptible-infected-quarantined-removed) model is proposed for computer worms by explicitly considering anti-virus measures and the network infrastructure. Then, the basic reproduction number of worm R0 is derived and the global dynamics of the model are established. It is shown that if R0 is less than or equal to 1, the disease-free equilibrium is globally asymptotically stable and the worm dies out eventually, whereas, if R0 is greater than 1, one unique endemic equilibrium exists and it is globally asymptotically stable, thus the worm persists in the network. Finally, numerical simulations are given to illustrate the theoretical results. 相似文献
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This paper presents a modified susceptible-infected-recovered(SIR) model with the effects of awareness and vaccination to study the epidemic spreading on scale-free networks based on the mean-field theory.In this model,when susceptible individuals receive awareness from their infected neighbor nodes,they will take vaccination measures.The theoretical analysis and the numerical simulations show that the existence of awareness and vaccination can significantly improve the epidemic threshold and reduce the risk of virus outbreaks.In addition,regardless of the existence of vaccination,the awareness can increase the spreading threshold and slow the spreading speed effectively.For a given awareness and a certain spreading rate,the total number of infections reduces with the increasing vaccination rate. 相似文献
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优化网络结构以促进信息在网络中传播一直是复杂网络研究的重点,网络中边的聚类特性和扩散特性对信息传播具有重要作用. K-truss分解算法是一种利用边的聚类特性识别网络关键节点的算法,然而K-truss算法会受到网络中局部聚类结果 (即相互连接的假核结构)的影响,而这些假核结构里的节点对信息扩散能力通常较弱.为此,本文提出一种衡量边扩散特性的指标,研究发现一些位于网络边缘的边具有很好的扩散性,但这类边的聚类很低,并不利于信息传播.通过同时考虑边的聚类特性和扩散特性之间的制约关系,提出一种信息传播网络结构优化算法.为了验证所提算法的有效性,使用该算法对四个真实的网络进行结构优化,并使用经典的独立级联模型来验证网络结构优化前后信息传播的有效范围.结果表明:使用提出的算法优化后的网络拓扑可以有效提高信息传播范围;并且,优化后的网络其叶子节点数目降低、聚类系数降低以及平均路径长度降低. 相似文献