Digital Rights Management and Digital Forensics for Content Delivery in Networks

• Main Authors: Che-JenHsieh, 謝哲人
• Other Authors: Jung-Shian Li
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/59449110318132694038

博士 === 國立成功大學 === 電腦與通信工程研究所 === 99 === Due to rapid advances in the network communications field in recent years, the distribution of large-scale music contents has become easier and more efficient than ever before. However, the unauthorized distribution of copyright-protected content has emerged as a major concern. Accordingly, this paper presents a content distribution framework with a DRM capability for P2P networks. The robustness of the content distribution is ensured by using a network coding approach based on the Lagrange polynomial interpolation method. When the downloading peer within the network receives sufficient coded pieces, it not only reconstructs the associated blocks using a finite field Gaussian elimination method, but also creates its own copies of the coded pieces within these blocks and shares these copies amongst the other peers in the network. As a result, the distribution overhead imposed on the music provider is substantially reduced and the number of coded pieces within the network is significantly increased, thereby overcoming the “last piece problem” inherent in existing P2P schemes. In the DRM module of the framework, the RSA public-key cryptosystem is used to generate a unique digital fingerprint for every user within the network. The fingerprint is embedded within the music file in a protected form such that the music provider can establish the identification of any user performing an unauthorized distribution of the file. The experimental results confirm that the proposed framework provides an efficient and secure means of distributing large-scale copyright-protected music contents with no discernible degradation in the audio quality. Aspects of digital forensics in the file, web transmission is common and JPEG image are widespread on the Internet. But digital distribution may suffer problems including illegal duplication, piracy and pornographic inundation. Pictures circulating on the Internet are mostly in JPEG format. It is important for digital forensic measure to provide evidences of illegal distribution. In this paper, a digital feature retrieval scheme for JPEG images is proposed to avoid disseminating unlawful JPEG images. The scheme could extract JPEG binary data at the packet level using a DC feature to search for suspicious files. According to the experiment results, our method could reduce the storage volume of JPEG image files and retrieve effective features quickly from the network.