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Demo Abstract: Cyber-Physical Fingerprinting for Internet of Things Authentication

机译:演示摘要:物联网身份验证的网络物理指纹

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摘要

Current security and privacy solution to fail to meet the IoT requirements due to computational restrictions and portable nature of IoT objects. In this demo, a novel authentication framework is proposed that exploits the device-specific information to authenticate each object in the IoT. The framework is shown to effectively track the physical environment effects on objects. The experiment shows a sample IoT environment consisting of multiple Raspberry PI units operating as IoT objects. The proposed framework monitors the changes of the physical environment surrounding objects by examining the changes in the device-specific information of each IoT object. The scenario of an emulation attacker is presented in the demo as a case study. The attacker is capable of replicating all the transmitted messages and security keys of one of the IoT objects. Our proposed framework is able to effectively detect such an attack and improve the authentication accuracy for all IoT objects. -Demo Abstract.
机译:由于计算限制和物联网对象的可移植性,当前无法满足物联网要求的安全和隐私解决方案。在本演示中,提出了一种新颖的身份验证框架,该框架利用特定于设备的信息对IoT中的每个对象进行身份验证。该框架显示为有效跟踪物理环境对对象的影响。该实验显示了一个示例物联网环境,该物联网环境由多个作为物联网对象运行的Raspberry PI单元组成。所提出的框架通过检查每个物联网对象的特定于设备的信息的变化来监视对象周围的物理环境的变化。演示中以案例研究的形式介绍了仿真攻击者的场景。攻击者能够复制IoT对象之一的所有传输的消息和安全密钥。我们提出的框架能够有效检测到此类攻击并提高所有物联网对象的身份验证准确性。 -演示摘要。

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