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Title:
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NO PLACE TO HIDE-PRIVACY BREACH THROUGH STRUCTURE ANALYSIS OF MULTIPLE SOCIAL NETWORKS |
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Author(s):
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Dan Hong , Vincent Y. Shen |
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ISBN:
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978-972-8924-93-5 |
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Editors:
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Pedro Isaías, Bebo White and Miguel Baptista Nunes |
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Year:
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2009 |
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Edition:
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1 |
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Keywords:
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Online social network, privacy, profile matching, structure matching |
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Type:
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Full Paper |
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First Page:
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109 |
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Last Page:
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116 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Today, more and more people establish their virtual identities on various on-line social networks. Since different social networks attract people with different interests, Web users may protect their privacy by publishing their profiles only to their friends, and may even use different names in different networks. It is common that many of their friends may also register on the same social networks and stay connected. It turns out that through the graph structure information, which can be obtained using tools provided by the on-line social networks, it is possible to derive the identity of certain users even though they may use different names. We investigate how friends information and hub information can be used to derive knowledge about some users by an attacker, even though these users may think that they have kept such information private. Using data crawled from Facebook and StudiVZ, we demonstrate the possibility of privacy breaches through comparison of graph structure data. There is no place to hide in on-line social networks if one has some friends who do not take the privacy issue seriously. This phenomenon is not uncommon in real life; there is no privacy if one befriends a person who is not careful with personal privacy. |
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