Three-Level vs Fixed Encryption Strategy Comparison

Paper context

Paper title: A Visual Perception-Based Tunable Framework and Evaluation Benchmark for H.265/HEVC ROI Encryption Abstract: ROI selective encryption, as an efficient privacy protection technique, encrypts only the key regions in the video, thereby ensuring security while minimizing the impact on coding efficiency. However, existing ROI-based video encryption methods suffer from insufficient flexibility and lack of a unified evaluation system. To address these issues, we propose a visual perception-based tunable framework and evaluation benchmark for H.265/HEVC ROI encryption. Our scheme introduces three key contributions: 1) A ROI region recognition module based on visual perception network is proposed to accurately identify the ROI region in videos. 2) A three-level tunable encryption strategy is implemented while balancing security and real-time performance. 3) A unified ROI encryption evaluation benchmark is developed to provide a standardized quantitative platform for subsequent research. This triple strategy provides new solution and significant unified performance evaluation methods for ROI selective encryption field. Experimental results indicate that the proposed benchmark can comprehensively measure the performance of the ROI selective encryption. Compared to existing ROI encryption algorithms, our proposed enhanced and advanced level encryption exhibit superior performance in multiple performance metrics. In general, the proposed framework effectively meets the privacy protection requirements in H.265/HEVC and provides a reliable solution for secure and efficient processing of sensitive Passages referencing this figure: Figure 1: Comparison between fixed encryption strategy and proposed three-level encryption strategy Therefore, protecting sensitive information while maintaining the usability of video data for automated analysis tasks (such as behavior recognition) remains a significant challenge. These single encryption strategies are difficult to apply in complex real-world scenarios, since different application scenarios exhibit diverse requirements for security and real-time performance, which can be shown in Fig. 1 .