臺灣博碩士論文加值系統

在電腦和網路發明過後的資訊時代，資料的傳遞日益方便和快速，上到國家公文、軍事機密，下到企業交易或各部門的計畫，全都需依靠一個安全的通信機制來獲得保障。當中資訊隱藏則成為一個解決方案與熱門的研究課題。像素差值為基礎的藏密法(PVD-Based Steganography)可有效並可在影像中藏入大量的秘密訊息。本論文提出了整合像素差值藏密法與side-match的方式、像素調整的方法與藏密步驟時藏密順序變化三個方法。而實驗結果證明與其他PVD改良藏密法相比，其藏密量至少提升17.5%以上，與原方法比較，藏密量則可提升約66%，也改善處理溢位的問題。證明了本文的新方法可在維持一定的像素品質下，大量提升資料的藏密量。
關鍵字：資料隱藏、像素差值、區塊式像素差值、溢位處理

After the invention of the computer and the network information age,the transmission of information is becoming more and more convenient and quick.Up to the national documents, military secrets, down to the business transactions or each department's plan, all of these secure communication mechanism to obtain the safeguard.Information hiding becomes a solution and a hot research topic. Pixel value difference-Based Steganography can make a large of secret messages hidden in the images effectively.
There are three methods in this paper, the integration of pixel value difference and side-match, Pixel adjustment method, and order of hiding secret message changes when hiding steps. The experimental results prove hidden messages volumes that compared with other PVD methods, at least more than 17.5%, compared with the original method, can increase about 66%, and also improve the processing of overflow problem. Proved in this paper, a new method not only maintain a certain quality in pixels, but also promote great amount of hiddden secret information.
Keywords:information hiding, pixel-value differencing, Multi-pixel differencing, Overflow processing

謝辭 i
摘要 ii
ABSTRACT iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章、緒論 1
1.1研究背景與動機 1
1.2研究動機與目的 7
1.3研究限制 7
第二章、文獻探討 8
2.1最不重要位元取代藏密法 8
2.2像素差值藏密法 9
2.2.1像素差值藏密法密文嵌入程序 9
2.2.2像素差值藏密法密文取出程序 11
2.3結合像素差值與最不重要位元藏密法 12
2.4區塊式像素值差異法 20
第三章、研究方法與研究架構 27
3.1 改良型像素差值藏密法之藏密程序 27
3.2 改良型像素差值藏密法之取密程序 34
3.3 改良型像素差值藏密法之溢位處理 37
3.3.1改良型像素差值藏密法之溢位處理二階段說明 37
3.3.2改良型像素差值藏密法之溢位處理流程說明 40
3.4 改良型像素差值藏密法之藏、取密程序範例 42
3.5 改良型像素差值藏密法之像素調整步驟改善 45
3.6 改良型像素差值藏密法之藏密順序變化 48
第四章、實驗結果與討論 52
4.1實驗環境與測試標準 52
4.2實驗結果分析 53
第五章、結論 56
5.1結論 56
5.2建議未來研究方法 56
【參考文獻】 58

中文部分
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英文部分
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網路部份
資料加密標準(Data Encryption Standard)。
https://en.wikipedia.org/wiki/Data_Encryption_Standard(2016/01/16)
Matlab程式。
https:// www.mathworks.com/products/matlab/(2016/05/31)
NRCS影像資料庫。
https://photogallery.nrcs.usda.gov/(2016/08/13)
PSNR與MSE品質與計算。
https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio(2016/10/02)
RSA加密演算法。
https://en.wikipedia.org/wiki/RSA_(cryptosystem)(2016/03/25)