Non-cryptographic Approaches for Collaborative Social Network Data Publishing - A Survey

Abstract

In today's world, trillions of persons are providing their data to social network data provider for connecting, interacting and data sharing with other users. The data provider may utilize these collected data for analysis purpose. Alternatively, multiple data providers prefer collaboration to attain enhanced analysis outcomes from the collected collaborated data. For such collaboration, the data providers do not share their data directly due to privacy issues instead they share the collected data with the trusted data publisher. The data publisher combines these collected data and subsequently publishes the data. Data collected at trusted data publisher site from multiple providers contain individuals' information that may be sensitive. Hence, the privacy of individuals may be compromised if it is published by the publisher in its original form. As a consequence, in literature, various non-cryptographic approaches are discussed for privacy-preserving collaborative social network data publishing. The motive of this paper is to emphasize the evaluation of these existing approaches with the help of different parameters.