本文選題：信息隱藏 + 漢明碼��； 參考：《安徽大學(xué)》2017年碩士論文

【摘要】：隨著信息科技技術(shù)和多媒體技術(shù)的飛速發(fā)展,信息技術(shù)已融入到人們生活的每一個(gè)角落,并逐漸改變?nèi)藗兊纳a(chǎn)生活方式�；ヂ�(lián)網(wǎng)為人們帶來(lái)便利的同時(shí),也面臨著嚴(yán)峻的網(wǎng)絡(luò)安全問題。因此,如何保護(hù)互聯(lián)網(wǎng)中有價(jià)值的數(shù)據(jù)在存儲(chǔ)或傳遞過程中的安全,保護(hù)所有終端受眾的隱私安全,防止非法的第三者中途攔截或篡改,已成為信息安全領(lǐng)域研究的熱點(diǎn)。信息隱藏技術(shù)作為網(wǎng)絡(luò)安全技術(shù)的重要分支,為秘密信息在互聯(lián)網(wǎng)上存儲(chǔ)和傳輸?shù)陌踩蕴峁┝擞行У谋Ｕ�。為了更好的提升�?shù)據(jù)在傳輸和存儲(chǔ)中的安全性,本文深入研究了數(shù)字圖像信息隱藏算法、漢明碼技術(shù)以及其他圖像處理技術(shù),并提出了兩個(gè)基于漢明碼的信息隱藏方法,分別是明文域的信息隱藏方法和密文域的信息隱藏方法。在明文域的信息隱藏方法中,通過對(duì)漢明碼技術(shù)的深入研究,發(fā)現(xiàn)多個(gè)漢明碼結(jié)合應(yīng)用在圖像的信息隱藏上,會(huì)對(duì)偽裝圖像的質(zhì)量有所提升。此外,還利用人眼對(duì)邊緣區(qū)域較不敏感,而對(duì)平滑區(qū)域較為敏感的事實(shí),結(jié)合圖像處理中常用的邊緣檢測(cè)技術(shù),提出了一種自適應(yīng)的信息隱藏算法。該方法中,首先對(duì)圖像劃分相同大小的區(qū)塊,并根據(jù)邊緣檢測(cè)結(jié)果給出一個(gè)區(qū)塊陡峭等級(jí)的劃分算法。實(shí)驗(yàn)結(jié)果顯示,該算法具有較高的信息負(fù)載量,且有較好的不可感知性。為了便于管理且減輕發(fā)送者的負(fù)擔(dān),信息嵌入操作以及與接收者的交互操作均可由半可信的第三方服務(wù)器承擔(dān)。出于保護(hù)圖像擁有者的數(shù)據(jù)隱私的目的,需要對(duì)原始圖像進(jìn)行加密,第三方服務(wù)器則需要在密文圖像上進(jìn)行信息隱藏。由于加密技術(shù)會(huì)使相鄰像素之間的相關(guān)性消失,這無(wú)疑對(duì)密文圖像上的信息隱藏技術(shù)是一個(gè)巨大的挑戰(zhàn)。值得慶幸的是,基于漢明碼進(jìn)行信息隱藏的方法,無(wú)需借助相鄰像素間具有相關(guān)性這一特性。在密文域的信息隱藏方法中,通過研究漢明碼技術(shù),提出并證明了基于(7,4)漢明碼的完美串定理,并基于該定理本文提出了一種高藏量的密文圖像上的信息隱藏算法。實(shí)驗(yàn)結(jié)果顯示,該算法所用的圖像加密算法非常安全,大幅提高了信息負(fù)載量的同時(shí),能夠保證提取的秘密信息準(zhǔn)確無(wú)誤。
[Abstract]:With the rapid development of information technology and multimedia technology, information technology has been integrated into every corner of people's lives, and gradually changed people's way of production and life. The Internet brings convenience to people, at the same time, it also faces the severe network security problem. Therefore, how to protect the security of valuable data in the Internet, to protect the privacy of all terminal audiences, and to prevent illegal third parties from intercepting or tampering in the middle of the way, has become a hot topic in the field of information security. As an important branch of network security technology, information hiding technology provides an effective guarantee for the security of secret information storage and transmission on the Internet. In order to improve the security of data transmission and storage, this paper deeply studies the digital image information hiding algorithm, hamming code technology and other image processing technologies, and proposes two information hiding methods based on hamming code. The information hiding methods of plaintext domain and ciphertext domain are respectively. In the information hiding method of plaintext domain, through the in-depth study of hamming code technology, it is found that the quality of camouflaged image can be improved by combining multiple hamming codes with image information hiding. In addition, an adaptive information hiding algorithm is proposed based on the fact that the human eye is less sensitive to the edge region and more sensitive to the smooth region, combined with the commonly used edge detection techniques in image processing. In this method, the image is first divided into blocks of the same size, and an algorithm of dividing blocks with steep grades is presented according to the results of edge detection. The experimental results show that the algorithm has higher information load and better imperceptibility. In order to facilitate management and reduce the burden on the sender, the information embedding operation and the interaction operation with the receiver can be undertaken by the semi-trusted third party server. For the purpose of protecting the data privacy of the image owner, the original image needs to be encrypted, while the third party server needs to hide the information on the ciphertext image. Because encryption technology will make the correlation between adjacent pixels disappear, this is undoubtedly a huge challenge to the information hiding technology on ciphertext images. Fortunately, the method of information hiding based on hamming code does not need to rely on the correlation between adjacent pixels. In the information hiding method of ciphertext domain, by studying the hamming code technology, the perfect string theorem based on (7) hamming code is proposed and proved. Based on this theorem, an information hiding algorithm on ciphertext image with high volume is proposed. The experimental results show that the image encryption algorithm used in this algorithm is very secure and can greatly increase the information load and ensure the accuracy of the extracted secret information.
【學(xué)位授予單位】：安徽大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP309.7;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 肖迪;王瑩;常燕廷;周佳奇;;基于加法同態(tài)與多層差值直方圖平移的密文圖像可逆信息隱藏算法[J];信息網(wǎng)絡(luò)安全;2016年04期

2 項(xiàng)世軍;羅欣榮;;同態(tài)公鑰加密系統(tǒng)的圖像可逆信息隱藏算法[J];軟件學(xué)報(bào);2016年06期

3 姜飛;李軍;錢振興;;可提高嵌入容量的密文醫(yī)學(xué)圖像可逆數(shù)據(jù)隱藏方法[J];應(yīng)用科學(xué)學(xué)報(bào);2015年06期

4 項(xiàng)世軍;羅欣榮;石書協(xié);;一種同態(tài)加密域圖像可逆水印算法[J];計(jì)算機(jī)學(xué)報(bào);2016年03期

5 張焱;張敏情;甕佳佳;;基于直方圖對(duì)的大容量信息隱藏算法[J];計(jì)算機(jī)應(yīng)用研究;2013年07期

6 劉九芬;韓濤;張衛(wèi)明;陳嘉勇;;一種基于濕紙編碼和圖匹配理論的直方圖保持隱寫算法[J];電子與信息學(xué)報(bào);2011年03期

7 奚玲;平西建;張濤;;一種新的濕紙碼自適應(yīng)信息隱藏方法[J];應(yīng)用科學(xué)學(xué)報(bào);2010年05期

8 徐凱平;鄭洪源;丁秋林;;一種基于LSB和PVD的圖像信息隱藏方法研究[J];計(jì)算機(jī)應(yīng)用研究;2010年03期

9 張新鵬;劉煥;張穎春;王朔中;;融合方向編碼和濕紙編碼的高效信息隱藏[J];上海大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年01期

10 顧巧論;高鐵杠;;基于直方圖修改的圖像可逆信息隱藏算法[J];計(jì)算機(jī)工程與設(shè)計(jì);2008年15期

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本文編號(hào)：2095014