...
首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Application of Blockchain for Internet of Things: A Bibliometric Analysis
【24h】

Application of Blockchain for Internet of Things: A Bibliometric Analysis

机译:区块链以互联网互联网的应用:一对伯格计分析

获取原文
           

摘要

As a disruptive emerging technology, the Internet of things (IoT) has rapidly developed, but its privacy risks and security vulnerabilities are still key challenges. The decentralized and distributed architecture of blockchain has the potential to satisfy IoT privacy and security requirements. This gives birth to the new domain of blockchain for IoT (BIoT). BIoT will cause significant transformations across several industries, paving the way for new business models. Based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) databases in Web of Science (WoS) Core Collection, this study aims to explore the research trends and cooperation in the field of BIoT using the bibliometric method. The results indicate that the publications in this field have increased significantly from 2016 to 2020, with China and the USA being the most productive and influential countries. Keyword co-occurrence analysis shows that the most important research topics are as follows: security issues, core technologies, application dimensions, and transaction processes. Text mining analysis indicates that future research directions for BloT will focus more on both computing paradigms and key applications. This study will provide researchers with a greater understanding on the state of the art of BIoT and will serve as a reference for researchers engaging in this field to identify their own future research directions.
机译:作为一种破坏性的新兴技术,物联网(物联网)迅速发展,但其隐私风险和安全漏洞仍然是关键挑战。区块链的分散和分布式架构有可能满足物联网隐私和安全要求。这为IOT(BIOT)生成了SlockChain的新领域。 BIOS将在若干行业造成重大转变,为新的商业模式铺平道路。基于科学引用指数扩大(SCIE)和社会科学引用指数(SSCI)科学版(WOS)核心集合中的数据库,本研究旨在探讨使用派对测量法的BIOS领域的研究趋势和合作。结果表明,该领域的出版物从2016年到2020年增加了大幅增加,中国和美国是最富有成效和最有影响力的国家。关键词共同发生分析表明,最重要的研究主题如下:安全问题,核心技术,应用程序尺寸和交易流程。文本挖掘分析表明,未来的污染研究方向将更多地关注计算范例和关键应用。本研究将为研究人员提供更加了解Biot的状态,并将作为参与参与这一领域的研究人员来识别其未来的研究方向。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号