資訊管理學報
邱佩玲;李開暉;
頁: 77-96
日期: 2013/01
摘要: 傳統視覺機密分享機制產生雜點分享圖，藉以安全地分享機密影像。但雜點分享圖的外觀難以辨識，造成管理分享圖困難。此外，雜點分享圖傳遞過程中，極容易招致被偵測與攔截的風險。前人所提擴充型視覺機密分享機制，在雜點分享圖上添加有意義的偽裝圖，以解決管理困難的問題，但是大都伴隨更嚴重的像素擴張現象，且無法有效降低被偵測與攔截的風險。因此，本文提出以自然影像為基礎的機密分享機制，以數張任意選取的自然影像和1張傳統視覺密碼的雜點分享圖為媒介，傳遞1張全彩的數位形式機密影像。本文所提機制具有極高的友善度，同時在加密的過程不需竄改自然影像內容，能有效的降低傳輸風險且無像素擴張，解密時該彩色機密影像也可以完全還原。
關鍵字: 視覺機密分享;擴充型視覺機密;自然影像;傳輸風險;
Abstract: Conventional visual secret sharing (VSS) schemes generate noise-like random pixels on shares to hide secret images. However, these schemes suffer from two problems, one related to security and one related to management. First, the noise-like shares arouse suspicion, which leads to security problems for participants who are involved in a VSS scheme. Second, participants cannot visually identify each share, especially if they hold more than one share simultaneously, which leads to the management problem. To address the management problem, previous researchers developed extended visual cryptography schemes that add a meaningful cover image on each share. Generally, however, these approaches introduce a more serious pixel expansion problem than conventional VSS schemes. In addition, there are still many noise-like pixels on the shares, which do not effectively reduce the security problems. This paper proposes a natural-image-based VSS scheme that can share a color secret image over n-1 arbitrary natural images and one noise-like share image. Instead of altering the contents of the natural images, the encryption process extracts feature images from each natural image. Then, the encryption process divides and distributes the color secret image among these feature images and generates a noise-like share. In such a way, the unaltered natural images are innocuous, thus greatly reducing the security problem. When the n-1 natural images and the share image are received, the n-1 feature images can be extracted and the secret image can be recovered completely by combining the feature images and the share image. Experimental results indicate that the proposed approach is an excellent solution for solving the security and management problems. Moreover, the proposed approach avoids the pixel expansion problem and makes it possible to totally recover the secret images.
Keywords: Visual secret sharing;Extended visual cryptography scheme;Natural images;Transmission risk;
瀏覽次數: 9236 下載次數: 295
引用 導入Endnote
頁: 77-96
日期: 2013/01
摘要: 傳統視覺機密分享機制產生雜點分享圖，藉以安全地分享機密影像。但雜點分享圖的外觀難以辨識，造成管理分享圖困難。此外，雜點分享圖傳遞過程中，極容易招致被偵測與攔截的風險。前人所提擴充型視覺機密分享機制，在雜點分享圖上添加有意義的偽裝圖，以解決管理困難的問題，但是大都伴隨更嚴重的像素擴張現象，且無法有效降低被偵測與攔截的風險。因此，本文提出以自然影像為基礎的機密分享機制，以數張任意選取的自然影像和1張傳統視覺密碼的雜點分享圖為媒介，傳遞1張全彩的數位形式機密影像。本文所提機制具有極高的友善度，同時在加密的過程不需竄改自然影像內容，能有效的降低傳輸風險且無像素擴張，解密時該彩色機密影像也可以完全還原。
關鍵字: 視覺機密分享;擴充型視覺機密;自然影像;傳輸風險;
A Color Secret Image Sharing Scheme Based on Natural Images
Abstract: Conventional visual secret sharing (VSS) schemes generate noise-like random pixels on shares to hide secret images. However, these schemes suffer from two problems, one related to security and one related to management. First, the noise-like shares arouse suspicion, which leads to security problems for participants who are involved in a VSS scheme. Second, participants cannot visually identify each share, especially if they hold more than one share simultaneously, which leads to the management problem. To address the management problem, previous researchers developed extended visual cryptography schemes that add a meaningful cover image on each share. Generally, however, these approaches introduce a more serious pixel expansion problem than conventional VSS schemes. In addition, there are still many noise-like pixels on the shares, which do not effectively reduce the security problems. This paper proposes a natural-image-based VSS scheme that can share a color secret image over n-1 arbitrary natural images and one noise-like share image. Instead of altering the contents of the natural images, the encryption process extracts feature images from each natural image. Then, the encryption process divides and distributes the color secret image among these feature images and generates a noise-like share. In such a way, the unaltered natural images are innocuous, thus greatly reducing the security problem. When the n-1 natural images and the share image are received, the n-1 feature images can be extracted and the secret image can be recovered completely by combining the feature images and the share image. Experimental results indicate that the proposed approach is an excellent solution for solving the security and management problems. Moreover, the proposed approach avoids the pixel expansion problem and makes it possible to totally recover the secret images.
Keywords: Visual secret sharing;Extended visual cryptography scheme;Natural images;Transmission risk;
瀏覽次數: 9236 下載次數: 295
引用 導入Endnote