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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
data analysts to mine the value of social networks, analyze the social behavior of individuals …
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility
Knowledge Graphs (KGs) have recently gained relevant attention in many application
domains, from healthcare to biotechnology, from logistics to finance. Financial organisations …
domains, from healthcare to biotechnology, from logistics to finance. Financial organisations …