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

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 homomorphic encryption algorithm (VHE) to flexibly generate invisible membrane based on the size of the privacy image to protect private information.