Efficient video encryption is essential for securing sensitive information within vast volumes of video data. Considerable research has focused on selective encryption to improve efficiency, with region of interest (ROI)-based selective encryption eme...
Efficient video encryption is essential for securing sensitive information within vast volumes of video data. Considerable research has focused on selective encryption to improve efficiency, with region of interest (ROI)-based selective encryption emerging as a critical method. The ROI-based selective encryption method targets regions containing essential visual information for encryption. Compared to methods that encrypt entire regions, the ROI-based selective encryption method enhances encryption speed and obtains contextual and situational information by encrypting only specific regions within each frame. However, ROI-based selective encryption relies on object detection algorithms to identify ROIs in each frame, which increases the overall computational complexity of the encryption process. To address this, we propose a novel ROI-based selective frame encryption technique utilizing a hierarchical B-frame structure in high-efficiency video coding (HEVC). The proposed method selects specific frames, identifies objects within them, and then encrypts them, enabling faster processing than traditional methods. We evaluate its efficiency by measuring object detection time and encryption time using detailed statistical metrics such as peak signal- to-noise ratio (PSNR), structural similarity index measure (SSIM), correlation coefficient analysis, and edge differential ratio (EDR) analysis. Additionally, to ensure that objects in all frames are fully de-identified, we introduce the Object De- Identification Rate (ODR) metric and use it to evaluate the proposed ROI encryption method. Compared to traditional methods, our approach achieves competitive ROI identification and encryption speeds while maintaining effective de-identification of ROIs in HEVC video.