Abstract
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.
The first author is a master candidate.
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Notes
- 1.
OpenCV data set. https://docs.opencv.org/3.0-beta/modules/datasets/doc/datasets.html.
- 2.
PSNR can evaluate the quality of the decoded image.
- 3.
Information entropy is the most important measure of randomness in information theory and the maximum entropy of an gray image should be as 8 when all of the pixels are equally distributed, which shows that the information is random.
- 4.
NPCR and UACI are two most common quantities that used to evaluate the strength of image encryption algorithms with respect to differential attacks.
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Lv, S., Liu, Y., Sun, J. (2019). IMES: An Automatically Scalable Invisible Membrane Image Encryption for Privacy Protection on IoT Sensors. In: Vaidya, J., Zhang, X., Li, J. (eds) Cyberspace Safety and Security. CSS 2019. Lecture Notes in Computer Science(), vol 11982. Springer, Cham. https://doi.org/10.1007/978-3-030-37337-5_21
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DOI: https://doi.org/10.1007/978-3-030-37337-5_21
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