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Trusted Execution Technology (TEE) in a Secure Execution Environment for IoT

机译:可信执行技术(TEE)在IOT的安全执行环境中

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摘要

In the last couple of years, the Internet of Things (IoT) is found to have increasing applications. The IoT components include smart-devices which communicate and exchange the information without the physical intervention of humans. The growth of newer models of IoT and their systems lead the devices more vulnerable and prone to a severe kind of threats. This current study has introduced a new system capturing and verification procedures in Blockchain supported smartloT systems that can show the trust-level confidence to outside networks. This work has a Behavior Monitor and get implemented on a selected node that can extract the activity of each device and analyzes the behavior using deep machine learning strategy. In addition, we use Trusted Execution Technology (TEE) which can provide a secure execution environment (enclave) for sensitive application code and data on blockchain. To prove the proposed model, we analyze various IoT devices data that is infected by attacks. Experimental findings prove the ability of our proposed method in terms of accuracy and time required for detection.
机译:在过去几年中,发现物联网(物联网)越来越多的应用。物联网组件包括智能设备,用于在没有人类的物理干预的情况下进行通信和交换信息。 IOT及其系统较新型号的增长导致设备更加脆弱,易于威胁严重的威胁。本届研究引入了BlockChain支持的Smartlot系统中的新系统捕获和验证程序,可以向外部网络显示信任级别信心。这项工作具有行为监视器,并在可以在可以提取每个设备的活动的所选节点上实现,并使用深机器学习策略分析该行为。此外,我们使用可信执行技术(TEE),该技术可以为敏感的应用程序代码和数据库提供安全执行环境(Cancave)。为了证明所提出的模型,我们分析了被攻击感染的各种物联网设备数据。实验结果证明了我们提出的方法在检测所需的准确性和时间方面的能力。

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