Name
Abstract | ||
|---|---|---|
In this paper, we provide a comprehensive study of privacy threats by bridging user's online and offline social activities. We adopt the recently emerged Event-Based Social Networks (EBSNs) such as Meetup as an example. Due to the intrinsic interrelated nature of users' online and offline social activities, our research revealed that using several simple yet effective privacy inference models, user's privacy of online group membership and offline event attendance can be inferred with high accuracy. The level of privacy threats by bridging user's online and offline social activities is remarkably severe. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-47874-6_29 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Online Soical Networks (OSNs),Privacy attack,Privacy inference | Data mining,Internet privacy,Social network,Computer science,Inference,Bridging (networking),Online and offline,Attendance,Instrumental and intrinsic value | Conference |
Volume | ISSN | Citations |
10047 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 24 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| CaiLing Dong | 1 | 137 | 8.64 |
| Bin Zhou | 2 | 341 | 30.99 |