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对于启用雾的工业物联网安全计算
Ahmad Naseem Alvi1, Bakhtiar Ali1, Mohamed Saad Saleh2
1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
拟议的基于信任的有效执行下载的IIoT信任任务 (EEOIT) 系统通过检测恶意节点和优化对物联网 (IIoT) 任务的资源配置来增强雾节点的能力.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 事物的工业互联网 (IIoT)
背景情况:
- 智能城市利用工业物联网 (IIoT) 为工业应用,连接具有有限容量的传感器节点.
- IIoT节点将复杂的任务卸载到雾节点以实现更快的执行,但面临恶意攻击和资源限制的漏洞.
- 恶意攻击可以过载雾节点,增加合法IIoT节点的任务计算延迟.
研究的目的:
- 提出一种新的机制,即基于信任的有效执行下载的IIoT信任任务 (EEOIT),以应对IIoT雾计算的挑战.
- 通过检测恶意节点和高效管理计算资源,增强雾节点的任务执行能力.
- 确保IIoT任务在指定的时间框架内完成,即使是复杂的任务和潜在的攻击.
主要方法:
- 开发了EEOIT,这是IIoT环境中雾节点的基于信任的机制.
- 实施了一个系统来检测恶意节点,并管理资源分配用于下载任务.
- 进行模拟,以评估EOIT在各种任务密度下对现有技术的表现.
主要成果:
- 在具有不同任务密度的IIoT环境中,EEOIT显著优于现有技术.
- 拟议的EOIT技术增强了可信任任务的计算,提高了网络效率.
- EEOIT 证明了任务执行时间的减少,平均信任值的增加,并容纳了更多合法节点.
结论:
- 欧洲物联网云计算团队有效地解决了IIoT雾计算中恶意攻击和资源限制的挑战.
- 该系统提供了一个强大的解决方案,以有效和及时执行IIoT任务.
- 通过更有效地优先考虑和处理可信任任务,EEOIT提高了整体网络性能.
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