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Privacy Preservation in Sequential Published Social Networks Against Mutual Friend Attack
2018
International Journal of Engineering & Technology
In recent years the social networks are widely used the way of connecting people, interact with each other and share the information. The social network data is rich in content and the data are published for third party users such as researchers. The social interaction between individual's changes rapidly as time changes so there is a need of privacy preserving in dynamic networks. An adversary can acquire some local knowledge about individuals in the network and can easily breach the privacy
doi:10.14419/ijet.v7i4.17424
fatcat:c24l4ktw4zdwbabwv7ihp6o224