Enhancing social network privacy with accumulated non-zero prior knowledge

Author:

Wang Yue,Yang Lin,Chen Xiaoyun,Zhang Xiaofeng,He Zhenyu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference42 articles.

1. Privacy preserving social network data publication;Abawajy;IEEE Commun. Surv. Tutor.,2016

2. Privacy-preserving data mining;Agrawal,2000

3. A random matrix approach to differential privacy and structure preserved social network graph publishing;Ahmed;Comput. Sci.,2013

4. Protecting data privacy from being inferred from high dimensional correlated data;Ba,2014

5. Allowing continuous evaluation of citizen opinions through social networks;Buccafurri,2012

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1. A negative survey based privacy preservation method for topology of social networks;Applied Soft Computing;2023-10

2. A traceable and revocable decentralized multi-authority privacy protection scheme for social metaverse;Journal of Systems Architecture;2023-07

3. Investigation on Privacy Hazards in Social Area Network;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

4. A Negative Survey based Method for Preserving Topology Privacy in Social Networks;2022 4th International Conference on Data Intelligence and Security (ICDIS);2022-08

5. Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework;Lecture Notes in Social Networks;2022

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