Privacy Image Protection Using Fine-grained Technique

• Main Authors: Chu-Fan Wang, 王楚帆
• Other Authors: Eric Jui-Lin Lu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/86946411443982725782

碩士 === 國立中興大學 === 資訊管理學系所 === 102 === Access control has been applied in multimedia database to preserve and protect the content which contains sensitive information. The past researches generate authorization rules to control the users who have permissions to access the contents in social photos, meeting photos, promotional photos, etc. It is not appropriate to use in some privacy scenarios (e.g., the increasing popularity of digital images being stored and managed by the service Google Street View). With low cost of maintenance, this paper integrates the data hiding technique into a fine-grained access control model to mask the sensitive information as well as enable to decode the masked results if necessary. Different kinds of images are treated as test images in the experiments. According to different authorizations, the different views for an image are presented. Also, the length of authorization path and the time is required in proposed scheme are shown in experiments. The experiments show the positive data to confirm the feasibility of the proposed scheme.