近年來由於網路通訊快速發展，檔案很容易在網路上大規模的散佈，而具有版權保護的資料在網路上非法散佈已成為重要議題，因此本論文提出在網路具有數位版權管理功能的資料散播架構。我們使用基於拉格朗日多項式插入法的網路編碼方法來增加網路傳遞資料的完整性。當網路的節點下載足夠的編碼的資料片段後，它不只可用有限場高斯消去法來重組原檔案區塊外，並且產生新的編碼資料片段再釋出到網路中，分享給其他的節點使用。結果，原先在網路中提供資料下載的伺服器的下載的負擔，可因為我們提供的方法後大大減少極大地減少，而在網路上編碼資料片段的數量也明顯增加，如此可解決網路上下載的 ”最後一塊的問題”。在我們所提的具有數位版權管理模組的架構中，在網路上我們使用RSA公鑰加密演算法針對每一使用者產生一組唯一的數位指紋，這數位指紋嵌入到每一受保護的音樂檔案中，此種方法可讓音樂提供廠商可使用數位指紋鑑識方法來辨別網路上非法傳遞檔案的使用者。從大量實驗結果證明我們所提供的架構可有效及安全的提供大規模檔案下載保護機制，並且並沒有降低檔案的品質。

在檔案數位鑑識方面，目前利用網站下載及傳遞JPEG圖像是相當普遍，然而這種方式很容易碰到檔案非法複製、剽竊和色情的泛濫等問題。因此為解決在網路上非法散播檔案的問題，提供數位鑑識是一種解決方法之一。在本論文中，我們提出一個針對JPEG圖像做數位特徵擷取方法去避免在網路上傳遞非法的JPEG圖像。此方法可在網路封包層中擷取出JPEG圖像二進位資料數據並可利用這資料去搜尋可疑的資料封包。根據實驗結果，我們的方法可減少對JPEG檔案儲存空間，並可在網路中有效的擷取出檔案的特徵值。

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.

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