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Cryptographic and Non-Cryptographic Approaches for Collaborative Social Network Data Publishing: A Comprehensive Survey

Author : Urvashi K. Mandwale, Mansi Kotadiya, Inderjit Kaur Journa Name: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country : India Volume: 10 issue: 3 Year: 2024 Views : 285
Abstract:
Trillions of people worldwide now give their data to social network data providers so they can connect, communicate, and share info with other users. The data supplier may use the gathered information for analytical purposes. On the other hand, a number of data suppliers would rather work together to achieve better analysis results from the pooled data. Due to privacy concerns, the data providers in this partnership share the collected data with the reliable data publisher rather than sharing their data directly. After compiling this gathered data, the data publisher publishes the information. Sensitive personal information about specific people can be found in data gathered from many sources and published on reputable data publisher websites. Hence, if the publisher publishes it in its original form, people’s privacy might be compromised. As a result, many cryptographic and non-cryptographic strategies for publishing collaborative social network data while protecting anonymity are explored in the literature.
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