2026/05/19 by Kejie Wang, Yuejun Zhang, Shuang Hu +4
Computer Science · #Digital Media Forensic Detection #Physical Unclonable Functions (PUFs) and Hardware Security #Video Coding and Compression Technologies
paper · doi:10.1109/tvlsi.2026.3690749
openalex publication_date 2026/05/19 · openalex created_date 2026/05/20 · openalex updated_date 2026/07/29
Addressing security threats faced by high efficiency video coding (HEVC) video devices in open deployment environments, this article proposes a HEVC Transform and Quantization (TQ)-based Software Physical Unclonable Function (TQ-SPUF). By overclocking the HEVC TQ module, this function induces clock violations on the critical path, thereby generating a stable and unique device fingerprint. Meanwhile, a two-stage postprocessing scheme combining majority voting and butterfly-xoroperations is employed to generate stable and uniform device fingerprints. Based on the proposed TQ-SPUF, a lightweight challenge-response authentication protocol was designed to achieve device identity binding. Furthermore, the PUF-gated session key is utilized to drive a dual-perturbation selective encryption scheme, which introduces both fixed- and random-position perturbations into the I-frame network abstraction layer units. In this way, semantic information exploitable was effectively disrupted, thereby preventing content recovery or tampering. Experimental results show that the proposed TQ-SPUF achieves 98.84% randomness and 49.15% uniqueness, passing part of the NIST test. Moreover, the encrypted videos exhibit an average peak signal-to-noise ratio (PSNR) of 10.4313dB and an average structural similarity index measure (SSIM) of 0.2935. This indicates that the encrypted content is visually incomprehensible, thereby achieving video anti-tampering protection.