Privacy-Preserving Surveillance for Smart Cities
Published in IEEE International Confernce on Ubiquitous and Future Networks (ICUFN), 2022
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.