Prying Data out of a Social Network
Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and graph information from the popular social networking Website Facebook and report two major findings. First, we describe severa...
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| Published in | 2009 International Conference on Advances in Social Network Analysis and Mining : 20-22 July 2009 pp. 249 - 254 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.07.2009
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9780769536897 0769536891 |
| DOI | 10.1109/ASONAM.2009.45 |
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| Abstract | Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and graph information from the popular social networking Website Facebook and report two major findings. First, we describe several novel ways in which data can be extracted by third parties. Second, we demonstrate the efficiency of these methods on crawled data. Our findings highlight how the current protection of personal data is inconsistent with user's expectations of privacy. |
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| AbstractList | Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and graph information from the popular social networking Website Facebook and report two major findings. First, we describe several novel ways in which data can be extracted by third parties. Second, we demonstrate the efficiency of these methods on crawled data. Our findings highlight how the current protection of personal data is inconsistent with user's expectations of privacy. |
| Author | Danezis, G. Anderson, J. Bonneau, J. |
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| Snippet | Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of... |
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| SubjectTerms | Collaboration Computer networks Context modeling Cultural differences Data mining Data privacy Laboratories privacy Protection Social network services social networks web crawling |
| Title | Prying Data out of a Social Network |
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