Open AccessA Comprehensive Review on Data Anonymization Techniques for Social Networks
Author(s) -
Sivasankari Krishnakumar K.,
Uma Maheswari K.M.
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19028
Subject(s) - computer science , data science , social media , social network (sociolinguistics) , internet privacy , safeguard , data mining , social network analysis , computer security , world wide web , business , international trade
Many individuals all around the world have been using social media to communicate information. Numerous companies utilize social data mining to deduce many fascinating facts from social data modeled as a complicated network structure. However, releasing social data has a direct and indirect impact on the privacy of many of its users. Recently, several anonymization techniques have been created to safeguard Personal information about users and their relationships in social media. This study presents a comprehensive survey on various data anonymization strategies for social network data and analysis their advantages and disadvantages. It also addresses the major research concerns surrounding the efficiency of anonymization approaches.