[HTML][HTML] A comprehensive analysis of privacy-preserving solutions developed for online social networks

A Majeed, S Khan, SO Hwang - Electronics, 2022 - mdpi.com
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 …

[HTML][HTML] Privacy preservation in online social networks using multiple-graph-properties-based clustering to ensure k-anonymity, l-diversity, and t-closeness

R Gangarde, A Sharma, A Pawar, R Joshi, S Gonge - Electronics, 2021 - mdpi.com
As per recent progress, online social network (OSN) users have grown tremendously
worldwide, especially in the wake of the COVID-19 pandemic. Today, OSNs have become a …

VertexSerum: Poisoning Graph Neural Networks for Link Inference

R Ding, S Duan, X Xu, Y Fei - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Graph neural networks (GNNs) have brought superb performance to various applications
utilizing graph structural data, such as social analysis and fraud detection. The graph links …

Enhanced privacy preserving for social networks relational data based on personalized differential privacy

H Kang, Y Ji, S Zhang - Chinese Journal of Electronics, 2022 - Wiley Online Library
With the popularization and development of social software, more and more people join the
social network, which produces a lot of valuable information, but also contains plenty of …

[HTML][HTML] k-NDDP: An Efficient Anonymization Model for Social Network Data Release

S Shakeel, A Anjum, A Asheralieva, M Alam - Electronics, 2021 - mdpi.com
With the evolution of Internet technology, social networking sites have gained a lot of
popularity. People make new friends, share their interests, experiences in life, etc. With …

[PDF][PDF] Enhanced clustering based OSN privacy preservation to ensure k-anonymity, t-closeness, l-diversity, and balanced privacy utility

R Gangarde, A Sharma, A Pawar - Computers, Materials and …, 2023 - researchgate.net
Online Social Networks (OSN) sites allow end-users to share a great deal of information,
which may also contain sensitive information, that may be subject to commercial or non …

Differential private social network publication and persistent homology preservation

T Gao, F Li - IEEE Transactions on Network Science and …, 2021 - ieeexplore.ieee.org
Online social networks (OSNs) service providers share and analyze users' data for better
performance. Hence, they are responsible for the protection of sensitive information …

Distributed privacy preservation for online social network using flexible clustering and whale optimization algorithm

NJ Uke, SA Lokhande, P Kale, SD Pawar… - Cluster …, 2024 - Springer
Over the past few years, global use of Online Social Networks (OSNs) has increased. The
rising use of OSN makes protecting users' privacy from OSN attacks difficult. Finally, it affects …

基于Shamir 的动态强前向安全签名方案.

薛庆水, 卢子, 杨谨瑜 - Application Research of Computers …, 2023 - search.ebscohost.com
目前基于shamir 的数字签名方案多数仍需可信中心参与子秘密(秘密份额) 的分发,
缺乏成员对群管理的反向监督, 缺少强前向安全性. 在这些问题的前提下, 提出一种无可信中心 …

Local perturbation of critical subgraph based social network structural privacy protection

D Chen, Y Wang, L Qu, J Yang - Knowledge-Based Systems, 2024 - Elsevier
In social networks, the direct exposure of structural data containing numerous authentic
relationships significantly risks user privacy leakage. Thus, safeguarding the privacy of such …