Name
Abstract | ||
|---|---|---|
The development of digital media, the increasing use of social networks, the easier access to modern technological devices, is perturbing thousands of people in their public and private lives. People love posting their personal news without consider the risks involved. Privacy has never been more important. Privacy enhancing technologies research have attracted considerable international attention after the recent news against users personal data protection in social media websites like Facebook. It has been demonstrated that even when using an anonymous communication system, it is possible to reveal user’s identities through intersection attacks or traffic analysis attacks. Combining a traffic analysis attack with Analysis Social Networks (SNA) techniques, an adversary can be able to obtain important data from the whole network, topological network structure, subset of social data, revealing communities and its interactions. The aim of this work is to demonstrate how intersection attacks can disclose structural properties and significant details from an anonymous social network composed of a university community. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11042-018-6217-9 | Multimedia Tools and Applications |
Keywords | Field | DocType |
Social networks analysis, Privacy, Statistical disclosure attack, Anonymous network communications | Computer vision,Traffic analysis,Social media,Social network,Computer security,Computer science,Communications system,Artificial intelligence,Privacy-enhancing technologies,Adversary,Data Protection Act 1998,Digital media | Journal |
Volume | Issue | ISSN |
78.0 | 21 | 1573-7721 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandra Guadalupe Silva Trujillo | 1 | 4 | 1.41 |
| Ana Lucila Sandoval Orozco | 2 | 174 | 26.45 |
| Luis Javier Garcí-a Villalba | 3 | 190 | 28.39 |
| Tai-Hoon Kim | 4 | 5 | 2.41 |