横向物联网平台安全管理:调查与比较

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Anastassia Gharib, Jason Jaskolka, Mohamed Ibnkahla, Ashraf Matrawy
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引用次数: 0

摘要

随着工业4.0的兴起,水平物联网(IoT)平台正在成为管理复杂和异构物联网系统内互操作性的标准化方法。横向物联网平台是提供整体物联网系统编排和管理的软件解决方案。他们致力于促进物联网服务和资源,其中安全管理仍然是主要挑战之一。本文对使用水平物联网平台的物联网系统中的安全管理进行了调查和比较。为此,我们首先定义并比较垂直和水平物联网平台。虽然垂直物联网平台为许多行业提供解决方案,但水平物联网平台通过互联多个垂直领域来提高系统连接性。然后,我们描述了横向物联网平台的安全管理功能。考虑到这些,我们对现有水平物联网平台的安全管理方法的现状进行了比较研究。特别地,我们调查和比较了所选的基于标准的参考实现的安全管理特性。通过讨论,我们涵盖了研究人员和开发人员在为他们的工作选择特定参考实现时应该注意的问题。最后,我们确定了这些参考实现的现有安全管理原则中存在的问题,这些问题将在未来的研究和实际实现中得到解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Management of Horizontal IoT Platforms: A Survey and Comparison
With the rise of Industry 4.0, horizontal Internet of Things (IoT) platforms are becoming a standardized approach for managing interoperability within complex and heterogeneous IoT systems. Horizontal IoT platforms are software solutions that provide overall IoT system orchestration and management. They work to facilitate IoT services and resources, where security management remains one of the main challenges. This paper provides a survey and comparison of security management in IoT systems using horizontal IoT platforms. For this purpose, we first define and compare vertical and horizontal IoT platforms. Although vertical IoT platforms provide solutions to many industries, horizontal IoT platforms improve system connectivity by interconnecting multiple vertical domains. We then describe the security management functionalities of horizontal IoT platforms. With these in mind, we perform a comparative study on the current state of security management approaches of existing horizontal IoT platforms. Particularly, we survey and compare the security management features of the selected standard-based reference implementations. Through discussions, we cover concerns that researchers and developers should be aware of when selecting specific reference implementations for their works. Finally, we identify open issues in the existing security management principles of these reference implementations to be addressed in future studies and practical implementations.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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