加密货币市场中的私有物联网和基于区块链的系统

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Soft Computing Pub Date : 2024-08-12 DOI:10.1007/s00500-024-09773-1
Haibo Yi
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引用次数: 0

摘要

近年来,越来越多的加密货币市场采用了物联网(IoT)技术,采用率自 2020 年以来稳步上升。采用率大幅增长的行业包括制造业、交通运输业和公共空间。物联网通过信息传感设备将所有物体连接到互联网,从而实现信息交换以及对事物的智能识别和管理。这带来了广泛的应用。虽然区块链技术解决了传统物联网系统的中心化问题,但隐私泄露仍是利用物联网实施智能供应链管理的关键挑战。我们提出了隐私保护技术,以实现安全的物联网交易。首先,我们提出了一种基于后量子加密技术的区块链架构,用于安全存储数据和信息。其次,我们提出了一种后量子混合货币机制,以加强隐私保护。第三,我们提出了一种为安全交易而设计的基于区块链的物联网架构。通过整合区块链、混合货币方法和后量子技术,我们开发了基于区块链的物联网交易系统。我们在加密货币市场中实施了这一系统。我们的实施以及与相关解决方案的比较表明,该系统可为物联网交易提供安全服务。
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A private-preserved IoT and blockchain-based system in the cryptocurrency market

In recent years, more and more cryptocurrency markets have adopted Internet of things (IoT) technology, with adoption rates steadily increasing since 2020. Industries that have seen significant growth in adoption include manufacturing, transportation, and public spaces. IoT connects all objects to the Internet through information sensing devices, enabling information exchange and intelligent identification and management of things. This has led to a wide range of applications. While blockchain technology addresses the centralization issue of traditional IoT systems, privacy leakage remains a key challenge for implementing smart supply chain management using IoT. We present privacy-preserving techniques to enable secure IoT trading. First, we propose a blockchain architecture based on post-quantum cryptography to securely store data and information. Second, we propose a post-quantum mixed currency mechanism for enhanced privacy protection. Third, we propose a blockchain-based IoT architecture designed for secure trading. By integrating blockchain, mixed currency approaches, and post-quantum techniques, we develop a blockchain-based IoT trading system. We implement this system within cryptocurrency markets. Our implementation and comparison with related solutions demonstrate that the system provides secure services for IoT trading.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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