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研究生：	章益銓 Chang, I-Chuan
論文名稱：	植基於DCT量化技術之數位影像鑑識系統 A DCT Quantization-Based Image Authentication System for Digital Forensics
指導教授：	賴溪松 Laih, Chi Sung
學位類別：	碩士 Master
系所名稱：	電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering
論文出版年：	2005
畢業學年度：	93
語文別：	英文
論文頁數：	66
中文關鍵詞：	影像認證、數位證據
外文關鍵詞：	digital evidence, digital forensics, image authentication, content feature, malicious manipulation, acceptable manipulation
相關次數：	點閱：154 下載：2
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　　隨著數位時代的來臨，使得數位資料逐漸地取代了原本的類比資料。但由於數位編輯軟體的普遍，卻造成數位資料的真實性面臨極大的挑戰。尤其當數位資料成為法律相關證據時，其可靠性將是很大的疑慮。
　　
　　本論文提出完整的數位影像鑑識系統，並改善了基於DCT量化技術之影像認證系統的偵測問題。所提出的改善方法能有效地解決偵測問題，並同時考量系統之安全性、可靠性及實用性等等，以期減少對數位證據誤判的可能。最後實現影像認證及可正確偵測惡意修改影像內容之系統。當法庭對犯罪之相關數位證據產生疑問時，期望此系統能適當地提供可靠的訊息，以供法官作出更準確且更客觀的判決。

　　With the advent of digital times, the digital data has gradually taken the place of the original analog data. However, the authenticity of digital data faces a great challenge due to the fact that the digital edit software is ubiquitous. It has aroused the suspicion on the reliability of digital data especially when the digital data renders to the court as the digital evidence.
　　
　　We propose an integrated image authentication system for digital forensics and improve the detection problems of a DCT quantization-based image authentication scheme. The improved detection schemes will effectively solve the detection problems and, at the same time, take into account the reliability, the security, and the practicability of the system. It is expected to reduce the wrong detection probability of the digital evidence. Finally, the improved image authentication schemes will be implemented. If the digital evidence presented to the court is under suspicions, the system is expected to provide accurate information to help the judiciary to make the verdict right and objective.

Chapter 1  Introduction    1
        1.1  Digital Forensics    2
        1.2  Multimedia Authentication    3
        1.3  Structure of Thesis    5

Chapter 2  Basic Fundamentals    7
        2.1  JPEG Compression Standard    7
            2.1.1  FDCT and IDCT    9
            2.1.2  Quantization    9
            2.1.3  Entropy Coding    11
        2.2  Cryptographic System    12
            2.2.1  Symmetric-key cryptography    13
            2.2.2  Asymmetric-key cryptography    14
            2.2.3  Hash Function    16
        2.3  Information Hiding    19
            2.3.1  Digital Watermarking    20

Chapter 3  Overview of Others’ Image Authentication Schemes    23
        3.1  Introduction of Image Authentication Schemes    23
        3.2  Overview of Image Authentication Schemes Surviving JPEG Compression    26
            3.2.1  SARI Scheme    27
            3.2.2  Possible Attacks on SARI    29
            3.2.3  Quantization-Based Image Authentication Scheme    32

Chapter 4  Proposed Image Authentication System    36
        4.1  Image Authentication System for Digital Forensics    36
        4.2  Improved Image Authentication Schemes    39
            4.2.1  Improved Detection Scheme 1    42
            4.2.2  Improved Detection Scheme 2    43

Chapter 5  Experimental Results and Discussion    49
        5.1  The Estimation of DCT Distortions for JPEG Lossy Compression	    49
        5.2  Experimental Results    51
        5.3  Comparison and Discussion    56

Chapter 6  Conclusions and Future Work    59
        6.1  Conclusions    59
        6.2  Future Work    60

References    62
                                    

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2006-07-12公開

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