Usable access control in collaborative environments: Authorization based on people-tagging

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Abstract

We study attribute-based access control for resource sharing in collaborative work environments. The goal of our work is to encourage sharing within an organization by striking a balance between usability and security. Inspired by the great success of a number of collaboration-based Web 2.0 systems, such as Wikipedia and Del.icio.us, we propose a novel attribute-based access control framework that acquires information on users' attributes from the collaborative efforts of all users in a system, instead of from a small number of trusted agents. Intuitively, if several users say that someone has a certain attribute, our system believes that the latter indeed has the attribute. In order to allow users to specify and maintain the attributes of each other, we employ the mechanism of people-tagging, where users can tag each other with the terms they want, and tags from different users are combined and viewable by all users in the system. In this article, we describe the system framework of our solution, propose a language to specify access control policies, and design an example-based policy specification method that is friendly to ordinary users. We have implemented a prototype of our solution based on a real-world and large-scale people-tagging system in IBM. Experiments have been performed on the data collected by the system. © 2009 Springer Berlin Heidelberg.

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APA

Wang, Q., Jin, H., & Li, N. (2009). Usable access control in collaborative environments: Authorization based on people-tagging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5789 LNCS, pp. 268–284). https://doi.org/10.1007/978-3-642-04444-1_17

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