Abstract
The rapid development of big data and the Internet has brought enormous challenges to data security. Aiming at protecting the sensitive image data protection and secure access of information, an access control mechanism based on image recognition and user level is proposed. On the one hand, the mechanism is based on deep learning, mining sensitive information in images, realizing hierarchical classification and precise positioning of sensitive areas in images; on the other hand, combining identity authentication to achieve user management based on identity level; The image sensitivity level is mapped with the user identity level, which realizes the user’s access authority control, prevents unauthorized or illegal access of sensitive image information, and effectively protects sensitive image information.
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