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工业物联网的网络安全解决方案 - 边缘计算集成:挑战,威胁和未来方向
Tamara Zhukabayeva1, Lazzat Zholshiyeva1, Nurdaulet Karabayev1
1Department of Information Systems, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究详细介绍了工业物联网 (IIoT) 边缘计算中的网络物理系统 (CPS) 的网络安全挑战和解决方案. 它强调了普遍存在的威胁,并推了先进的技术,如机器学习,以加强保护.
科学领域:
- 网络安全 网络安全
- 事物的工业互联网 (IIoT)
- 边缘计算 边缘计算
- 网络物理系统 (CPS)
背景情况:
- 国际物联网与边缘计算的整合为CPS引入了复杂的网络安全挑战.
- 工业运营面临着针对这些互联系统的各种网络攻击带来的重大风险.
- 现有的安全措施往往无法解决IIoT边缘环境的独特漏洞.
研究的目的:
- 系统地审查和分析当前的网络安全挑战和解决方案,在IIoT边缘计算中为CPS提供解决方案.
- 识别流行攻击载体,入侵方法和关键威胁.
- 开发安全机制的分类,并将其与现有研究进行比较.
主要方法:
- 系统的文献审查和过去五年相关研究的分析.
- 识别和分类针对CPS的IIoT层攻击和网络攻击.
- 在IIoT边缘计算中开发CPS安全机制的分类法.
主要成果:
- 普遍存在的威胁包括Denial of Service (DoS),勒索软件,恶意软件和MITM攻击在整个IIoT架构.
- 漏洞普遍存在,严重影响工业运营.
- 开发了安全机制的综合分类,并与现有方法进行了比较.
结论:
- 先进的安全技术,如机器学习 (ML),联合学习 (FL),区块链和数字双胞胎对于强大的CPS网络安全至关重要.
- 整合IT/OT融合和先进的加密/加密技术对于实时数据保护至关重要.
- 未来的研究应该专注于在快速发展的IIoT边缘计算领域推进网络安全.
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