Abstract
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.
Highlights
A rapidly increasing number of physical devices and sensors are connecting to the Internet at an unprecedented rate
Edge computing environment is an open ecosystem and the IoT devices with limited resources are more vulnerable to be attacked [9]. en, the existing defense mechanisms based on cloud computing cannot be used to edge computing because of the geographically dispersed nature of IoT devices. us, how to effectively design defense mechanisms to defend against attackers has become a serious problem that desperately needs to be solved
We have proposed an infinite-horizon stochastic differential game model to study the malware propagation problem under the dynamic interaction between the attackers and defenders in the edge computingbased IoT environment that is composed by N IoT devices and to maximize the profit for both the attackers and defenders
Summary
A rapidly increasing number of physical devices and sensors are connecting to the Internet at an unprecedented rate. We pay attention to the security problem of malware propagation based on the stochastic differential game; in this framework, we try to model an optimal defense strategy for IoT devices. We Security and Communication Networks propose an infinite-horizon stochastic differential game model to research the malware propagation among IoT devices under the dynamic interaction between attackers and defenders in edge computing-based IoT, considering the stochastic fluctuations in the network. (1 )Firstly, we use the infinite-horizon stochastic differential game to model the malware propagation under the dynamic interaction between the attackers and defenders in edge computing-based IoT. (3) we discuss the feedback Nash equilibrium solutions for our proposed game model, which can be considered as the optimal strategies for both the attackers and defenders.
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