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在物联网和物联网的机会主义基于传感器的身份验证因素
Marc Saideh1, Jean-Paul Jamont2, Laurent Vercouter1
1INSA Rouen Normandie, Normandie Université, LITIS UR 4108, 76000 Rouen, France.
本研究介绍了基于传感器的机会性认证因素,以提高物联网 (IoT) 安全性. 利用实时传感器数据可以改善多因素身份验证,使物联网系统更安全.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 物联网 (IoT) 通信需要强大的身份验证,以防止未经授权的访问.
- 现有的物联网安全依赖于传统方法,对于动态,丰富传感器的环境来说,这些方法往往是不够的.
- 物联网传感器生成有价值的实时数据,可以用来提高安全性.
研究的目的:
- 为物联网系统中基于传感器的机会性认证因素提出和评估一种新的方法.
- 展示如何利用现有的物联网传感器可以创建新的身份验证维度.
- 通过改进的身份验证机制,提高物联网 (IoT) 的整体安全性.
主要方法:
- 使用系统的系统方法来整合机会性基于传感器的身份验证因素.
- 现有的物联网传感器被利用来生成新的身份验证数据.
- 通过结合这些基于传感器的因素,增强了多因素身份验证方案.
- 在一个停车场入口场景中进行了实验,涉及移动机器人和汽车.
主要成果:
- 提出的方法证明了使用机会性传感器数据进行身份验证的可行性和有效性.
- 在实验性停车入口场景中,实现了高识别精度.
- 机会性基于传感器的因素被证明可以加强现有的对象对象身份验证机制.
结论:
- 机会主义的基于传感器的身份验证因素为大幅改善物联网安全提供了一个有希望的途径.
- 将这些因素整合到多因素身份验证方案中,可以显著提高设备和数据的保护.
- 需要进一步的研究来正式化并将这种方法与现有的物联网安全技术进行比较.
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