Paper 2025/1540

A Fine-Grained and Real-Time Functional Video Encryption and Sharing Scheme

Abstract

In video-centric applications, video objects and backgrounds often contain sensitive information, which raises serious privacy concerns. It is necessary to restrict access to certain objects or backgrounds in the video stream while allowing permitted users to view a specific subset of video content. However, masking the prohibited objects for each user, then encoding and delivering each individually processed video to the target user will generate multiple copies of the same video. This can lead to significant storage, processing, and communication overhead when the number of users is large. In this work, inspired by the idea of functional encryption, we propose a fine-grained and real-time video encryption and sharing scheme, named FVES$^+$. In FVES$^+$, we encode and encrypt the videos only once, and different users can decode and decrypt the encrypted videos to acquire different contents depending on their access authorities. Theoretically, FVES$^+$ achieve IND-CPA security. We implement and evaluate FVES$^+$ using PC and mobile devices as end-devices. FVES$^+$ achieves real-time performance, averaging $35.1$ FPS across three public datasets, including the stages of object detection, encoding, and encryption. When there are $n$ different access requirements by end-users, FVES$^+$ improves video sharing speed by $\Theta(n)\times$ compared to the baseline methods. Our experiments validate the effectiveness and efficiency of FVES$^+$.