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SOCIALCOM
2010

q-Anon: Rethinking Anonymity for Social Networks

9 years 7 months ago
q-Anon: Rethinking Anonymity for Social Networks
This paper proposes that social network data should be assumed public but treated private. Assuming this rather confusing requirement means that anonymity models such as kanonymity cannot be applied to the most common form of private data release on the internet, social network APIs. An alternative anonymity model, q-Anon, is presented, which measures the probability of an attacker logically deducing previously unknown information from a social network API while assuming the data being protected may already be public information. Finally, the feasibility of such an approach is evaluated suggesting that a social network site such as Facebook could practically implement an anonymous API using q-Anon, providing its users with an anonymous option to the current application model.
Aaron Beach, Mike Gartrell, Richard Han
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where SOCIALCOM
Authors Aaron Beach, Mike Gartrell, Richard Han
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