Paper
19 July 2024 A lightweight unstructured device state image encryption and collection scheme
Meng Xu, Baofeng Li, Yu Qin, Yu Bai
Author Affiliations +
Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130P (2024) https://doi.org/10.1117/12.3035327
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China
Abstract
Industrial Internet-of-Things (IoT) has recently emerged and is undergoing rapid development, and image data collected through IoT nodes or terminals is related to personal information. For the protection of image data in IoT, especially in smart grid, we propose a new lightweight image encryption and collection scheme. First of all, a random permutation matrix was used to disturb the association between original and encrypted images. Secondly, to further strengthen the encryption, we select only a portion of bits from the blinding matrix for encryption, instead of encrypting the entire image. After receiving the encrypted data, the data center performs the inverse operations to decrypt the image. Performance analysis shows that, compared to the counterparts, our scheme is more efficient and feasible, can be applied for resource-limited equipment and is ideal for protecting sensitive images.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Meng Xu, Baofeng Li, Yu Qin, and Yu Bai "A lightweight unstructured device state image encryption and collection scheme", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130P (19 July 2024); https://doi.org/10.1117/12.3035327
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KEYWORDS
Image encryption

Matrices

Computer security

Image analysis

Histograms

Image quality

Data centers

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