The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial

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Abstract
This article presents research challenges and a tutorial on performance evaluation of blockchain-based security and privacy systems for the Internet of Things (IoT). We start by summarizing the existing surveys that deal with blockchain security for IoT networks. Then, we review the blockchain-based security and privacy systems for seventeen types of IoT applications, e.g., Industry 4.0, software-defined networking, edge computing, Internet of Drones, Internet of Cloud, Internet of Energy, Internet of Vehicles, etc. We also review various consensus algorithms and provide a comparison with respect to the nine properties, such as latency, throughput, computation, storage, and communication costs, scalability, attack model, advantage, disadvantage, etc. Moreover, we present the security analysis techniques and provide a classification into four categories, including Burrows, Abadi, and Needham (BAN) logic, game theory, theory analysis, and AVISPA tool. In addition, we analyze the performance metrics, blockchain testbeds, and cryptography libraries used in the performance evaluation of blockchain-based security and privacy systems for the IoT networks. Based on the current survey, we discuss the major steps to follow for building and evaluating blockchain-based security and privacy systems. Finally, we discuss and highlight open challenges and future research opportunities.
Funding Information
  • Research Start-Up Fund for Talent Researcher of Nanjing Agricultural University (77H0603)
  • National Natural Science Foundation of China (62072248)

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