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Gorrell Cheek


Publications by Gorrell Cheek (bibliography)

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Shehab, Mohamed, Cheek, Gorrell, Touati, Hakim, Squicciarini, Anna C. and Cheng, Pau-Chen (2010): Learning based access control in online social networks. In: Proceedings of the 2010 International Conference on the World Wide Web 2010. pp. 1179-1180. http://doi.acm.org/10.1145/1772690.1772863

Online social networking sites are experiencing tremendous user growth with hundreds of millions of active users. As a result, there is a tremendous amount of user profile data online, e.g., name, birthdate, etc. Protecting this data is a challenge. The task of access policy composition is a tedious and confusing effort for the average user having hundreds of friends. We propose an approach that assists users in composing and managing their access control policies. Our approach is based on a supervised learning mechanism that leverages user provided example policy settings as training sets to build classifiers that are the basis for auto-generated policies. Furthermore, we provide mechanisms to enable users to fuse policy decisions that are provided by their friends or others in the social network. These policies then regulate access to user profile objects. We implemented our approach and, through extensive experimentation, prove the accuracy of our proposed mechanisms.

© All rights reserved Shehab et al. and/or their publisher

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Besmer, Andrew, Lipford, Heather Richter, Shehab, Mohamed and Cheek, Gorrell (2009): Social applications: exploring a more secure framework. In: Proceedings of the 2009 Symposium on Usable Privacy and Security 2009. p. 2. http://doi.acm.org/10.1145/1572532.1572535

Online social network sites, such as MySpace, Facebook and others have grown rapidly, with hundreds of millions of active users. A new feature on many sites is social applications -- applications and services written by third party developers that provide additional functionality linked to a user's profile. However, current application platforms put users at risk by permitting the disclosure of large amounts of personal information to these applications and their developers. This paper formally abstracts and defines the current access control model applied to these applications, and builds on it to create a more secure framework. We do so in the interest of preserving as much of the current architecture as possible, while seeking to provide a practical balance between security and privacy needs of the users, and the needs of the applications to access users' information. We present a user study of our interface design for setting a user-to-application policy. Our results indicate that the model and interface work for users who are more concerned with their privacy, but we still need to explore alternate means of creating policies for those who are less concerned.

© All rights reserved Besmer et al. and/or ACM Press

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