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Dynamic stochastic game-based security of edge computing based on blockchain

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Abstract

As a rising technology in recent years, edge computing has the characteristics of low latency and low energy consumption, which makes it possible for intelligent interconnection of things based on the Internet of Things(IoT) to meet people’s intelligent service needs anytime and anywhere. However, due to its wide geographical distribution, limited node resources, and vulnerability to network attacks, the operating environment of edge computing systems is in jeopardy, and user data privacy disclosure, malicious data tampering, identity authentication, and other security issues are increasingly prominent. As a distributed data-sharing technology, blockchain’s hash encryption transmission, consensus mechanism, and other characteristics determine that it has tamper-proof and traceable performance characteristics, which can well solve the security problems in edge computing systems. Although there have been quite many studies on the application of blockchain technology to the edge computing-enabled IoT system, there has been no systematic and mathematical research and analysis on the security mechanism of the blockchain technology architecture itself. From the perspective of relative security in the field of information security, this paper uses stochastic differential game theory to model the gains of both attack and defense sides under the edge computing system based on blockchain technology and obtain the Nash equilibrium solution. Runge–Kutta algorithm is used to solve the numerical solution of the revenue game model of both sides. From the perspective of architecture theory, it discusses and studies the security characteristics brought by blockchain technology architecture itself. Through simulation comparison with relevant research work and existing baseline scheme, the simulation results show the effectiveness and superiority of our proposed scheme. At the same time, the difficulty coefficient and block size are also revealed as security factors in systems based on blockchain technology.

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Authors and Affiliations

  1. School of Computer and Communication Engineering, University of Science and Technology Beijing, No.30 of XueYuan Road, Beijing, 100083, Beijing, People’s Republic of China

    Haoyu Wang & Jianwei An

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  1. Haoyu Wang
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  2. Jianwei An
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HW wrote the main manuscript text and JA prepared figures 1–3. All authors reviewed the manuscript.

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Correspondence to Haoyu Wang or Jianwei An.

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Wang, H., An, J. Dynamic stochastic game-based security of edge computing based on blockchain. J Supercomput 79, 15894–15926 (2023). https://doi.org/10.1007/s11227-023-05289-x

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