{"title":"加密货币市场中的私有物联网和基于区块链的系统","authors":"Haibo Yi","doi":"10.1007/s00500-024-09773-1","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":22039,"journal":{"name":"Soft Computing","volume":"3 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A private-preserved IoT and blockchain-based system in the cryptocurrency market\",\"authors\":\"Haibo Yi\",\"doi\":\"10.1007/s00500-024-09773-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":22039,\"journal\":{\"name\":\"Soft Computing\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s00500-024-09773-1\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00500-024-09773-1","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
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.