Measuring importance of seeding for structural de-anonymization attacks in social networks.
Gábor György GulyásSándor ImrePublished in: PerCom Workshops (2014)
Keyphrases
- social networks
- social network data
- data publishing
- social network analysis
- privacy preserving
- information loss
- online social networks
- social media
- structural information
- malicious attacks
- social roles
- security threats
- privacy preservation
- countermeasures
- relative importance
- community detection
- social networking
- social interaction
- structural analysis
- cryptographic protocols
- terrorist attacks
- malicious users