Design and analysis of SEIQR worm propagation model in mobile internet
Design and analysis of SEIQR worm propagation model in mobile internet
复制标题
移动互联网SEIQR蠕虫传播模型设计与分析
DOI：
10.1016/j.cnsns.2016.07.012
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发表时间：
2017
影响因子：
3.9
通讯作者：
Xia Shutao
中科院分区：
文献类型：
--
作者：
Xiao Xi;Fu Peng;Dou Changsheng;Li Qing;Hu Guangwu;Xia Shutao
近年来，移动互联网极大便利了人们的日常生活。然而，它已成为许多新蠕虫的滋生地，包括基于蓝牙的蠕虫、基于短信/彩信的蠕虫和基于 Wi-Fi 的蠕虫。目前，Wi-Fi广泛用于移动设备连接互联网。但它使这些设备暴露在危险的环境中。当前大多数蠕虫传播模型旨在解决计算机蠕虫问题。由于计算机和移动设备之间的差异，它们不能直接在移动环境中使用，特别是在Wi-Fi场景中。在本文中，我们提出了一种Wi-Fi环境下的蠕虫传播模型，称为SEIQR（Susceptible-Expose-Infectious-Quarantined-Recovered）。在该模型中，受感染的节点可以被Wi-Fi基站隔离，并建立一个名为隔离状态（Q）的新状态来代表这些受感染的节点。基于该模型，我们提出了一种有效的方法来抑制基于 Wi-Fi 的蠕虫病毒的传播。此外，基于基本繁殖数R0，研究了无蠕虫和地方病平衡的相关稳定性。如果R0<1，则无蠕虫平衡是局部和全局渐近稳定的，而如果R0<1，地方性平衡是局部渐近稳定的。最后，我们通过不同感染率和检疫率的综合实验来评估我们模型的性能。结果表明我们的机制可以对抗通过 Wi−Fi 传播的蠕虫。
The mobile Internet has considerably facilitated daily life in recent years. However, it has become the breeding ground for lots of new worms, including the Bluetooth-based worm, the SMS/MMS-based worm and the Wi-Fi-based worm. At present, Wi-Fi is widely used for mobile devices to connect to the Internet. But it exposes these devices to the dangerous environment. Most current worm propagation models aim to solve the problems of computer worms. They cannot be used directly in the mobile environment, particularly in the Wi-Fi scenario, because of the differences between computers and mobile devices. In this paper, we propose a worm propagation model in the Wi-Fi environment, calledSEIQR(Susceptible-Exposed-Infectious- Quarantined-Recovered). In the model, infected nodes can be quarantined by the Wi-Fi base station, and a new state named the Quarantined state (Q) is established to represent these infected nodes. Based on this model, we present an effective method to inhibit the spread of the Wi-Fi-based worms. Furthermore, related stabilities of the worm-free and endemic equilibriums are studied based on the basic reproduction numberR0. The worm-free equilibrium is locally and globally asymptotically stable ifR0< 1, whereas the endemic equilibrium is locally asymptotically stable ifR0< 1. Finally, we evaluate the performance of our model by comprehensive experiments with different infection rates and quarantine rates. The results indicate that our mechanism can combat the worms propagated via Wi−Fi.