Privacy preserving social network data publication

JH Abawajy, MIH Ninggal… - … communications surveys & …, 2016 - ieeexplore.ieee.org
The introduction of online social networks (OSN) has transformed the way people connect
and interact with each other as well as share information. OSN have led to a tremendous …

Privacy-preserving big data analytics a comprehensive survey

HY Tran, J Hu - Journal of Parallel and Distributed Computing, 2019 - Elsevier
In this paper, we present a comprehensive survey of privacy-preserving big data analytics.
We introduce well-designed taxonomies which offer both systematic views and a detailed …

Information security in big data: privacy and data mining

L Xu, C Jiang, J Wang, J Yuan, Y Ren - Ieee Access, 2014 - ieeexplore.ieee.org
The growing popularity and development of data mining technologies bring serious threat to
the security of individual,'s sensitive information. An emerging research topic in data mining …

Privacy preservation in big data from the communication perspective—A survey

T Wang, Z Zheng, MH Rehmani… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The advancement of data communication technologies promotes widespread data collection
and transmission in various application domains, thereby expanding big data significantly …

Social network de-anonymization and privacy inference with knowledge graph model

J Qian, XY Li, C Zhang, L Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Social network data is widely shared, transferred and published for research purposes and
business interests, but it has raised much concern on users' privacy. Even though users' …

De-anonymizing social networks and inferring private attributes using knowledge graphs

J Qian, XY Li, C Zhang, L Chen - IEEE INFOCOM 2016-The …, 2016 - ieeexplore.ieee.org
Social network data is widely shared, transferred and published for research purposes and
business interests, but it has raised much concern on users' privacy. Even though users' …

[HTML][HTML] Data anonymization for pervasive health care: systematic literature mapping study

Z Zuo, M Watson, D Budgen, R Hall… - JMIR medical …, 2021 - medinform.jmir.org
Background Data science offers an unparalleled opportunity to identify new insights into
many aspects of human life with recent advances in health care. Using data science in …

Massive graph triangulation

X Hu, Y Tao, CW Chung - Proceedings of the 2013 ACM SIGMOD …, 2013 - dl.acm.org
This paper studies I/O-efficient algorithms for settling the classic triangle listing problem,
whose solution is a basic operator in dealing with many other graph problems. Specifically …

Privacy-preserving social network publication against friendship attacks

CH Tai, PS Yu, DN Yang, MS Chen - Proceedings of the 17th ACM …, 2011 - dl.acm.org
Due to the rich information in graph data, the technique for privacy protection in published
social networks is still in its infancy, as compared to the protection in relational databases. In …

A survey of graph-modification techniques for privacy-preserving on networks

J Casas-Roma, J Herrera-Joancomartí… - Artificial Intelligence …, 2017 - Springer
Recently, a huge amount of social networks have been made publicly available. In parallel,
several definitions and methods have been proposed to protect users' privacy when publicly …