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Sensors 2018, 18(11), 4074; https://doi.org/10.3390/s18114074

Stackelberg Dynamic Game-Based Resource Allocation in Threat Defense for Internet of Things

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
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Received: 9 November 2018 / Revised: 18 November 2018 / Accepted: 19 November 2018 / Published: 21 November 2018
(This article belongs to the Special Issue Threat Identification and Defence for Internet-of-Things)
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Abstract

With the rapid development of the Internet of Things, there are a series of security problems faced by the IoT devices. As the IoT devices are generally devices with limited resources, how to effectively allocate the restricted resources facing the security problems is the key issue at present. In this paper, we study the resource allocation problem in threat defense for the resource-constrained IoT system, and propose a Stackelberg dynamic game model to get the optimal allocated resources for both the defender and attackers. The proposed Stackelberg dynamic game model is composed by one defender and many attackers. Given the objective functions of the defender and attackers, we analyze both the open-loop Nash equilibrium and feedback Nash equilibrium for the defender and attackers. Then both the defender and attackers can control their available resources based on the Nash equilibrium solutions of the dynamic game. Numerical simulation results show that correctness and effeteness of the proposed model. View Full-Text
Keywords: resource allocation; threat defense; Internet of Things; Stackelberg dynamic game; Nash equilibrium resource allocation; threat defense; Internet of Things; Stackelberg dynamic game; Nash equilibrium
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, B.; Xu, H.; Zhou, X. Stackelberg Dynamic Game-Based Resource Allocation in Threat Defense for Internet of Things. Sensors 2018, 18, 4074.

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