AFPr-AM: A novel Fuzzy-AHP based privacy risk assessment model for strategic information management of social media platforms

MT Ahvanooey, MX Zhu, S Ou, HD Mazraeh… - Computers & …, 2023 - Elsevier
Abstract Social Media Platforms (SMPs) have changed how we communicate, share, and
obtain information. However, this also comes at a cost, as users (willingly) share their …

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 …

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 …

AFPr-AM:: A novel Fuzzy-AHP based privacy risk assessment model for strategic information management of social media platforms

M Taleby Ahvanooey, MX Zhu, S Ou, H Dana Mazraeh… - 2023 - dl.acm.org
Abstract Social Media Platforms (SMPs) have changed how we communicate, share, and
obtain information. However, this also comes at a cost, as users (willingly) share their …

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 …

Approximating Temporal Networks from Aggregated Network Data

R Ghawi, M Benzinger, J Pfeffer - 2023 Tenth International …, 2023 - ieeexplore.ieee.org
Temporal network data is typically provided in the form of temporal edge lists, where pairs of
connected nodes are associated with their interaction timestamps, enabling construction of …

[PDF][PDF] Sensitive content recognition in social interaction messages

I Perikos, L Michael - 2023 - ceur-ws.org
Online social networks are a predominant medium for social interaction where people
communicate in a way similar to what they do in real life. User communication comes mainly …

An Uncertain Graph Method based on Shuffle Model to Preserve Link Privacy of Mobile Social Networks.

J Yan, WENLI WANG, ZQ WU… - Journal of …, 2024 - search.ebscohost.com
With the rapid development of mobile wireless technology, mobile social networks play a
key role in people's online life. However, a large amount of data containing individual …

A Deep Dive Into Cybersecurity Risk Assessment and Countermeasures in Online Social Networks

A Zineddine, Y Belfaik, Y Sadqi - Risk Assessment and …, 2024 - igi-global.com
In the evolving realm of online social networks (OSNs), assessing cybersecurity risks and
implementing effective countermeasures are crucial for practitioners. This chapter confronts …

[PDF][PDF] Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data

H Yuan, J Xu, C Wang, Z Yang, C Wang, K Yin, Y Yang - 2024 - yangy.org
The public sharing of user information opens the door for adversaries to infer private data,
leading to privacy breaches and facilitating malicious activities. While numerous studies …