Abstract:The risk problem of access control model is always the key point of security management. In this paper, we introduce the risk factor to control the risk of role under the proposed threshold when building RBAC policy based on role mining. At the same time, a user should meet some demands to activate roles. So we propose the following principal. A user could activate a role when his trust is higher than the trust threshold of the candidate role. This method makes role authority more reasonable and it avoids of the abuse of permissions. Experiments on performance indicate that the proposed algorithm can not only build the complete RBAC system to avoid roles' high risk caused by the high complexity of permissions in roles, but also meet the least privilege when a user activates a role.
This paper studied character recognition on medicine bottle label containing batch number, production date and expiry date. It mainly consisted of character location, character segmentation and character recognition. Firstly, it preprocessed the image of medicine bottle label for the following procedures; secondly, it obtained the general character region by contour tracing and realized the precise location by horizontal projection algorithm; then it located character adhesion region by vertical projection algorithm and segmented the merged characters by drop fall algorithm; finally, it adopted Karhunen-Loeve transform to extract character features from the subclasses of coarse classification and accurately recognized characters by the improved BP algorithm. Experiments show that the system can recognize the bottle label characters quickly and accurately, it is of great practical value.
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