Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
With the continuous increase in avenues of personal data generation, privacy protection has become a hot research topic resulting in various proposed mechanisms to address this social issue. The main technical solutions for guaranteeing a user’s privacy are encryption, pseudonymization, a...
Main Authors: | Abdul Majeed, Safiullah Khan, Seong Oun Hwang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9775092/ |
Similar Items
-
Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning
by: Abdul Majeed, et al.
Published: (2023-01-01) -
A Comprehensive Analysis of Privacy-Preserving Solutions Developed for Online Social Networks
by: Abdul Majeed, et al.
Published: (2022-06-01) -
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
by: Abdul Majeed, et al.
Published: (2021-01-01) -
A Differentiated Anonymity Algorithm for Social Network Privacy Preservation
by: Yuqin Xie, et al.
Published: (2016-12-01) -
Rank-Label Anonymization for the Privacy-Preserving Publication of a Hypergraph Structure
by: Debasis Mohapatra, et al.
Published: (2022-01-01)