Design and Deployment of a Digital Forensics Service Platform for Online Videos

摘要

Increasing amount of illegal videos transmitted via Internet has aroused the need to develop digital video forensic systems for deterring and prosecuting digital crimes. Thus in this paper, we propose a digital forensics service platform for online videos, with the goal of revealing illegal videos and preventing them from spreading over the Internet. Different from previous systems, it a) detects more types of digital crimes; b) processes an enormous amount of video data in real time; c) pays more attention to end-user experience. For capturing legal evidence, a special technique - video fingerprinting - is employed. We present a hybrid fingerprint and improve the related algorithms in important ways. To solve dynamic resource scheduling and load balancing problems, the platform is built upon Content Distribution Networks (CDNs). As far as we know, the proposed platform is the first large-scale digital forensics service platform for online videos. It has been deployed and used in practice for detecting thousands of videos under the real web environment. The results of performance evaluation using data obtained from these real-world deployments demonstrate the feasibility of the platform.