Visualizing Privacy Implications of Access Control Policies in Social Network Systems
Mohd M. Anwar, Philip W. L. Fong, Xuedong Yang, Howard J. Hamilton · Lecture notes in computer science · 2010
We hypothesize that, in a Facebook-style social network system, proper visualization of one’s extended neighbourhood could help the user understand the privacy implications of her access control policies. However, an unrestricted view of one’s extended neighbourhood may compromise the privacy of others. To address this dilemma, we propose a privacy-enhanced visualization tool, which approximates the extended neighbourhood of a user in such a way that policy assessment can still be conducted in a meaningful manner, while the privacy of other users is preserved. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.