A comprehensive analysis of privacy-preserving solutions developed for online social networks
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …
tools, the use of various online social networks (OSNs) has significantly increased. On the …
[PDF][PDF] 大数据安全与隐私保护
冯登国, 张敏, **昊 - 2014 - cjc.ict.ac.cn
摘要大数据(Big Data) 已成为学术界和产业界的研究热点, **影响着人们日常生活,
工作**惯及思考方式. 但是目前大数据在收集, 存储和使用过程中面临着诸多安全风险 …
工作**惯及思考方式. 但是目前大数据在收集, 存储和使用过程中面临着诸多安全风险 …
Challenges and techniques in Big data security and privacy: A review
R Bao, Z Chen, MS Obaidat - Security and Privacy, 2018 - Wiley Online Library
With the rapid development of information technology, Big data has become a hot topic of
research in governments, academia, and enterprises. On the one hand, Big data brings …
research in governments, academia, and enterprises. On the one hand, Big data brings …
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 …
several definitions and methods have been proposed to protect users' privacy when publicly …
PCG: a privacy preserving collaborative graph neural network training framework
Graph neural networks (GNNs) and their variants have generalized deep learning methods
into non-Euclidean graph data, bringing substantial improvement in many graph mining …
into non-Euclidean graph data, bringing substantial improvement in many graph mining …
HAkAu: hybrid algorithm for effective k-automorphism anonymization of social networks
J Medková, J Hynek - Social Network Analysis and Mining, 2023 - Springer
Online social network datasets contain a large amount of various information about their
users. Preserving users' privacy while publishing or sharing datasets with third parties has …
users. Preserving users' privacy while publishing or sharing datasets with third parties has …
A review on privacy preservation of social networks using graphs
M Kiranmayi, N Maheswari - Journal of Applied Security Research, 2021 - Taylor & Francis
Social network platform is the one where a huge number of information from social networks
are published and accessed by third parties or with advertising partners for better social …
are published and accessed by third parties or with advertising partners for better social …
Evolutionary algorithms for k-anonymity in social networks based on clustering approach
The usage of social networks shows a growing trend in recent years. Due to a large number
of online social networking users, there is a lot of data within these networks. Recently …
of online social networking users, there is a lot of data within these networks. Recently …
Privacy preservation based on clustering perturbation algorithm for social network
F Yu, M Chen, B Yu, W Li, L Ma, H Gao - Multimedia tools and applications, 2018 - Springer
With a vigorous development of information release for social network, it is now an urgent
question to protect sensitive information. The sensitive information concerned by the …
question to protect sensitive information. The sensitive information concerned by the …
A graph modification approach for k-anonymity in social networks using the genetic algorithm
S Rajabzadeh, P Shahsafi, M Khoramnejadi - Social Network Analysis and …, 2020 - Springer
Social networks, which have become so popular today, allow their users to share
information. The main challenge the users are facing is the security preservation of their …
information. The main challenge the users are facing is the security preservation of their …