A Review on Privacy Preservation of Social Networks Using Graphs

Social network platform is the one where a huge number of information from social networks are published and accessed by third parties or with advertising partners for better social targeting. Hence published information must be deleted before the information is collected by recognizing people (anonymized). Thus the anonymization of data is more difficult and challenging and is a popular model to preserve privacy. This paper summarizes the anonymization techniques such as Graph modification techniques and Differential privacy that modifies the original graph structure to form the anonymous graph for privacy preservation in social networks.