Name
Abstract | ||
|---|---|---|
The possibility that an unauthorised agent is able to infer a user's hidden information (an attribute's value) is known as attribute inference risk. It is one of the privacy issues for Facebook users in recent times. An existing technique [I] provides privacy by suppressing users' attribute values from their profiles. However, suppression of an attribute value sometimes is not enough to secure a user's confidential information. In this paper, we experimentally demonstrate that (after taking necessary steps on attribute values) a user's sensitive information can still be inferred through his/her friendship information. We evaluated our approach experimentally on two datasets. We propose 3LP, a new three layers protection technique, to provide privacy protection to users of on-line social networks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-58469-0_8 | ICT SYSTEMS SECURITY AND PRIVACY PROTECTION, SEC 2017 |
Keywords | Field | DocType |
Privacy enhancing technologies, Attribute inference | Internet privacy,Social network,Confidentiality,Friendship,Inference,Computer science,Computer security,Privacy-enhancing technologies,Information sensitivity,Privacy software | Conference |
Volume | ISSN | Citations |
502 | 1868-4238 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khondker Jahid Reza | 1 | 3 | 2.48 |
| Md Zahidul Islam | 2 | 263 | 32.72 |
| vladimir estivillcastro | 3 | 903 | 107.50 |