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IMES: An Automatically Scalable Invisible Membrane Image Encryption for Privacy Protection on IoT Sensors

机译:IMES:用于物联网传感器的隐私保护的自动可扩展的不可见膜图像加密

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摘要

With the continuous changes in social needs, Smart City that become a new engine for traditional urban economic transformation, industrial upgrading and urban management. Around the popularity of Smart City, the combination of cloud computing, wireless mobile networks and IoT technology undoubtedly has become a perfect match. However, when the information obtained by the IoT devices are transmitted through the wireless network, people in the city are faced with a lot of personal information leaked without, knowing it. This problem, which not only requires the introduction and improvement of relevant laws, but. also brings new challenges to the cryptographic technology. This paper proposes an automatically scalable invisible membrane image encryption solution for image privacy issues for the smart city through IoT-based sensors environment. The scheme utilizes the integer vector homomor-phic encryption algorithm (VHE) to flexibly generate invisible membrane based on the size of the privacy image to protect private information.
机译:随着社会需求的不断变化,智慧城市成为传统城市经济转型,产业升级和城市管理的新引擎。随着智能城市的普及,云计算,无线移动网络和物联网技术的结合无疑已经成为了完美的选择。但是,当物联网设备获取的信息通过无线网络传输时,城市中的人们面临着许多不知不觉泄露的个人信息。这个问题,不仅需要引入和完善相关法律,而且还需要。也给密码技术带来了新的挑战。针对基于智慧城市的物联网传感器环境中的图像隐私问题,本文提出了一种可自动扩展的不可见膜图像加密解决方案。该方案利用整数矢量同态加密算法(VHE)根据隐私图像的大小灵活地生成不可见膜,以保护私人信息。

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