Over the past few months we are seeing a large and ever increasing number of Web sites encouraging users to log in with their Facebook, Twitter, or Gmail identity, or personalize their browsing experience through a set of plug-ins that interact with the users' social profile. Research results suggest that more than two million Web sites have already adopted Facebook's social plug-ins, and the number is increasing sharply. Although one might theoretically refrain from such single sign-on platforms and cross-site interactions, usage statistics show that more than 250 million people might not fully realize the privacy implications of opting-in. To make matters worse, certain Web sites do not offer even the minimum of their functionality unless the users meet their demands for information and social interaction. At the same time, in a large number of cases, it is unclear why these sites require all that personal information for their purposes. In this paper we mitigate this problem by designing and developing a framework for minimum information disclosure across third-party sites with single sign-on interactions. Our example case is Facebook, which combines a very popular single sign-on platform with information-rich social networking profiles. When a user wants to browse a Web site that requires authentication or social interaction with his Facebook identity, our system employs, by default, a Facebook session that reveals the minimum amount of information necessary. The user has the option to explicitly elevate that Facebook session in a manner that reveals more or all of the information tied to his social identity. This enables users to disclose the minimum possible amount of personal information during their browsing experience on third-party Web sites. © 2011 Springer-Verlag.
CITATION STYLE
Kontaxis, G., Polychronakis, M., & Markatos, E. P. (2011). SudoWeb: Minimizing information disclosure to third parties in single sign-on platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7001 LNCS, pp. 197–212). https://doi.org/10.1007/978-3-642-24861-0_14
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