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一项关于工业物联网安全的调查:需求,攻击,基于AI的解决方案和边缘计算机会
1Department of Information Technology, University of Tabuk, Tabuk 47731, Saudi Arabia.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
工业物联网 (IIoT) 由于其相互连接的性质,面临着重大安全挑战. 这项调查分析了2017-2023年的IIoT安全威胁,强调了人工智能和边缘计算如何增强保护.
科学领域:
- * 工业物联网 (IIoT) 安全性.
- * 网络物理系统安全.
- * 制造业中的网络安全.
背景情况:
- *工业物联网 (IIoT) 通过连接的设备和人工智能等技术,彻底改变了制造业.
- * IIoT中的互联互通虽然有利,但引入了大量的网络安全漏洞.
- *物联网安全仍然是广泛采用IIoT的关键障碍.
研究的目的:
- *从2017年到2023年提供关于IIoT安全的综合文献调查.
- *根据被利用的层来识别和分类IIoT安全威胁.
- * 描述违反的安全要求,并使用新兴技术探索解决方案.
主要方法:
- * 进行了一项文献调查,重点关注2017年至2023年间发表的IIoT安全研究.
- * 识别和分类流行的IIoT安全威胁.
- * 分析了受这些威胁影响的安全要求.
主要成果:
- * 确定了主要的IIoT安全威胁,并将其分为三个不同的IIoT层.
- * 描述了各种网络攻击中受损的特定安全要求.
- *强调了人工智能 (AI) 和边缘/雾计算在缓解IIoT安全风险方面的潜力.
结论:
- *全面了解IIoT安全威胁及其影响至关重要.
- *人工智能和边缘/雾计算等新兴技术为加强IIoT安全提供了有希望的途径.
- * 持续的研究对于解决工业环境中不断变化的网络安全环境至关重要.
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