Abusing social networks for automated user profiling
RAID'10 Proceedings of the 13th international conference on Recent advances in intrusion detection
How unique and traceable are usernames?
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
Is more always merrier?: a deep dive into online social footprints
Proceedings of the 2012 ACM workshop on Workshop on online social networks
Studying User Footprints in Different Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Modeling Social Network Interaction Graphs
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
@i seek 'fb.me': identifying users across multiple online social networks
Proceedings of the 22nd international conference on World Wide Web companion
Exploiting innocuous activity for correlating users across sites
Proceedings of the 22nd international conference on World Wide Web
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We study large online social footprints by collecting data on 13,990 active users.After parsing data from 10 of the 15 most popular social networking sites, we find that a user with one social network reveals an average of 4.3 personal information fields.For users with over 8 social networks, this average increases to 8.25 fields.We also investigate the ease by which an attacker can reconstruct a person’s social network profile.Over 40% of an individual’s social footprint can be reconstructed by using a single pseudonym (assuming the attacker guesses the most popular pseudonym), and an attacker can reconstruct 10% to 35% of an individual’s social footprint by using the person’s name.We also perform an initial investigation of matching profiles using public information in a person’s profile.