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Stochastic Differential Game-Based Malware Propagation in Edge Computing-Based IoT
Security and Communication Networks ( IF 1.968 ) Pub Date : 2021-02-23 , DOI: 10.1155/2021/8896715
Li Miao 1 , Shuai Li 1
Affiliation  

Internet of Things (IoT) has played an important role in our daily life since its emergence. The applications of IoT cover from the traditional devices to intelligent equipment. With the great potential of IoT, there comes various kinds of security problems. In this paper, we study the malware propagation under the dynamic interaction between the attackers and defenders in edge computing-based IoT and propose an infinite-horizon stochastic differential game model to discuss the optimal strategies for the attackers and defenders. Considering the effect of stochastic fluctuations in the edge network on the malware propagation, we construct the Itô stochastic differential equations to describe the propagation of the malware in edge computing-based IoT. Subsequently, we analyze the feedback Nash equilibrium solutions for our proposed game model, which can be considered as the optimal strategies for the defenders and attackers. Finally, numerical simulations show the effectiveness of our proposed game model.

中文翻译:

基于边缘计算的物联网中基于随机差分博弈的恶意软件传播

自从它诞生以来,物联网(IoT)在我们的日常生活中就发挥了重要作用。IoT的应用范围从传统设备到智能设备。随着物联网的巨大潜力,会出现各种安全问题。在本文中,我们研究了基于边缘计算的物联网中攻击者和防御者之间动态交互下的恶意软件传播,并提出了一种无限水平随机差分博弈模型,讨论了攻击者和防御者的最佳策略。考虑到边缘网络中的随机波动对恶意软件传播的影响,我们构建了Itô随机微分方程来描述基于边缘计算的IoT中恶意软件的传播。随后,我们分析了我们提出的博弈模型的反馈纳什均衡解,可以将其视为防御者和攻击者的最佳策略。最后,数值模拟表明了我们提出的博弈模型的有效性。
更新日期:2021-02-23
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