[HTML][HTML] A survey of privacy-preserving mechanisms for heterogeneous data types

M Cunha, R Mendes, JP Vilela - Computer science review, 2021 - Elsevier
Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

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 …

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 …

A survey on data pricing: from economics to data science

J Pei - IEEE Transactions on knowledge and Data …, 2020 - ieeexplore.ieee.org
Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

Differentially private distributed Nash equilibrium seeking for aggregative games

M Ye, G Hu, L **e, S Xu - IEEE Transactions on Automatic …, 2021 - ieeexplore.ieee.org
This article considers the privacy-preserving distributed Nash equilibrium seeking strategy
design for average aggregative games, in which the players' objective functions are …

Sok: Privacy-preserving data synthesis

Y Hu, F Wu, Q Li, Y Long, GM Garrido… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
As the prevalence of data analysis grows, safeguarding data privacy has become a
paramount concern. Consequently, there has been an upsurge in the development of …

Combined fuzzy clustering and firefly algorithm for privacy preserving in social networks

RK Langari, S Sardar, SAA Mousavi… - Expert Systems with …, 2020 - Elsevier
In recent years, an explosive growth of social networks has been made publicly available for
understanding the behavior of users and data mining purposes. The main challenge in …

Anonymization of centralized and distributed social networks by sequential clustering

T Tassa, DJ Cohen - IEEE Transactions on Knowledge and …, 2011 - ieeexplore.ieee.org
We study the problem of privacy-preservation in social networks. We consider the distributed
setting in which the network data is split between several data holders. The goal is to arrive …

Scalable graph processing frameworks: A taxonomy and open challenges

S Heidari, Y Simmhan, RN Calheiros… - ACM Computing Surveys …, 2018 - dl.acm.org
The world is becoming a more conjunct place and the number of data sources such as
social networks, online transactions, web search engines, and mobile devices is increasing …

A systematic comparison and evaluation of k-anonymization algorithms for practitioners

V Ayala-Rivera, P McDonagh, T Cerqueus, L Murphy - 2014 - researchrepository.ucd.ie
The vast amount of data being collected about individuals has brought new challenges in
protecting their privacy when this data is disseminated. As a result, Privacy-Preserving Data …