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Smart city article details

Title	Privacy-Preserving Surveillance For Smart Cities
ID_Doc	43211
Authors	Ahmad I.; Kim E.; Hwang S.-S.; Shin S.
Year	2022
Published	International Conference on Ubiquitous and Future Networks, ICUFN, 2022-July
DOI	http://dx.doi.org/10.1109/ICUFN55119.2022.9829680
Abstract	This work presents privacy-preserving surveillance system for smart cities based on perceptual encryption algorithm (PE). The encryption is block-based and provides necessary level of security while preserving intrinsic properties of an image necessary for compression. Unlike existing PE methods, the proposed method retains color information, thus can enable processing in encryption domain. The analysis shows that our method achieves same compression performance as existing methods while providing better security. In addition, we have performed face recognition on the encrypted images and demonstrated that the proposed method delivers the same recognition accuracy as that of the plain images. © 2022 IEEE.
Author Keywords	face recognition; image compression; Perceptual encryption; privacy-preserving Machine Learning

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