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 …

A comprehensive bibliometric analysis on social network anonymization: Current approaches and future directions

N Yazdanjue, H Yazdanjouei, H Gharoun… - … and Information Systems, 2025 - Springer
In recent decades, social network anonymization has become a crucial research field due to
its pivotal role in preserving users' privacy. However, the high diversity of approaches …

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 …

Privacy preservation in social network data using evolutionary model

S Srivatsan, N Maheswari - Materials Today: Proceedings, 2022 - Elsevier
Social Networks have seen an exponential increase in their user activity. The corresponding
user data can be extremely valuable, for improving user experience, identifying trends to …

[HTML][HTML] An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks

N Yazdanjue, H Yazdanjouei, R Karimianghadim… - Information …, 2024 - Elsevier
Recently, social network usage has exhibited explosive growth, leading to a huge amount of
users' private data available. The main challenge in releasing social network data publicly is …

FSopt_k: Finding the Optimal Anonymization Level for a Social Network Graph

M Kiabod, MN Dehkordi, B Barekatain, K Raahemifar - Applied Sciences, 2023 - mdpi.com
k-degree anonymity is known as one of the best models for anonymizing social network
graphs. Although recent works have tried to address the privacy challenges of social …

[HTML][HTML] TCα-PIA: A Personalized Social Network Anonymity Scheme via Tree Clustering and α-Partial Isomorphism

M Zhang, L Chang, Y Hao, P Lu, L Li - Electronics, 2024 - mdpi.com
Social networks have become integral to daily life, allowing users to connect and share
information. The efficient analysis of social networks benefits fields such as epidemiology …

Guarding Your Social Circle: Strategies to Protect Key Connections and Edge Importance

NP Shetty, B Muniyal, A Dokania… - Security and …, 2023 - Wiley Online Library
With the growing use of social networks and the consequent rise in the sharing of personal
information online, privacy has become a major concern, leading to an increased demand …

MLDA: a multi-level k-degree anonymity scheme on directed social network graphs

Y Hao, L Li, L Chang, T Gu - Frontiers of Computer Science, 2024 - Springer
With the emergence of network-centric data, social network graph publishing is conducive to
data analysts to mine the value of social networks, analyze the social behavior of individuals …

Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility

L Bellomarini, C Catalano, A Coletta, M Iezzi… - arXiv preprint arXiv …, 2024 - arxiv.org
Knowledge Graphs (KGs) have recently gained relevant attention in many application
domains, from healthcare to biotechnology, from logistics to finance. Financial organisations …