Presentation + Paper
12 June 2023 A video surveillance-based face image security system using post-quantum cryptography
Tuy Tan Nguyen, Quoc Bao Phan, Truong X. Nghiem, Carlo daCunha, Michael Gowanlock, Bertrand Cambou
Author Affiliations +
Abstract
This paper presents a video surveillance-based face image security system that utilizes post-quantum cryptography algorithm for enhanced security. The system accurately extracts face images from the surveillance video using the multi-task cascaded convolutional neural network (MTCNN) and subsequently encrypts them using the ring learning with errors (ring-LWE) algorithm. The encrypted facial images are then transmitted to a remote server for secure storage. The proposed system is implemented on a central processing unit (CPU) platform and its operations are accelerated using a graphics processing unit (GPU). The evaluation results on an NVIDIA GeForce RTX 3090 Ti GPU for videos from the standard reference database of National Institute of Science and Technology (NIST) show that the proposed system can perform face image encryption and decryption as fast as 1.33 ms and 0.51 ms on GPU platform for parameter set n = 256 and q = 7681, respectively. Moreover, the analysis of security parameters such as histogram, correlation coefficients, and entropy proves that the proposed system outperforms its predecessors in terms of confidentiality. The proposed system is also assessed using various security parameter sets to showcase its compatibility with diverse computational resources.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuy Tan Nguyen, Quoc Bao Phan, Truong X. Nghiem, Carlo daCunha, Michael Gowanlock, and Bertrand Cambou "A video surveillance-based face image security system using post-quantum cryptography", Proc. SPIE 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023, 125440N (12 June 2023); https://doi.org/10.1117/12.2663889
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KEYWORDS
Image encryption

Video

Facial recognition systems

Video surveillance

Correlation coefficients

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