Date of Award


Degree Type


Degree Name

Master of Science


Computer Science


Prof. Sylvia L. Osborn


Many individuals today reveal private and sometimes sensitive information to service providers without fully knowing the purpose for which the data is being used. For many, protection of their confidential information is becoming essential. Without their awareness, service providers potentially may use the information against their clients’ preferences. Therefore, providing an access control model which supports privacy protection for personal data is a necessity. The Role-based Access Control (RBAC) model has been extensively studied and applied to a range of applications for several years. This thesis presents an extended framework of the Role Graph Model (RGM), which is a version of RBAC, with privacy-based extensions to deal with such a need. Privacy Components and Access Purpose Tree (APT) have been added to our new version of the RGM. Both the theoretical part of our contribution and the practical part are discussed in detail. It is hoped that this work will make a significant contribution to the research in privacy and its relationship with security access control systems.



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