Characterization and Quantification of User Privacy: Key Challenges, Regulations, and Future Directions

The protection of user privacy in the digital age has become an important concern with the increase in data-driven technologies. These technologies generate large amounts of user data that provide opportunities for organisations to improve the quality of their user services. The publication of user-generated data creates risks for exposing an individual’s privacy. In the literature, identity theft and attribute disclosure are the two most common attacks on user-generated data. These privacy issues require data publishing organisations to protect user privacy. International regulatory standards provide consistent frameworks and guidelines that data publishing organisations can use to secure user-sensitive data. This survey discusses the characterisation and quantification of user privacy in compliance with international regulatory standards. We provide an overview of existing regulations and frameworks related to user privacy, highlighting their strengths, limitations, and implications for individuals and businesses. We discuss the steps involved in characterising and quantifying user privacy within the framework of international regulatory standards, privacy tools, and real-world case studies. Furthermore, we share promising directions for future research and development, including advancements in privacy techniques, interdisciplinary collaborations, and the role of emerging technologies. By addressing these challenges and creating a way forward, this work aims to contribute to the ongoing research on user privacy and promote the development of effective strategies for safeguarding user personal data in an increasingly interconnected world.

Authors

Institutions

Publication Details

Journal
IEEE Communications Surveys & Tutorials
Published
2024-12-18
DOI
https://doi.org/10.1109/comst.2024.3519861
Citations
13
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
14.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and Quantification of User Privacy: Key Challenges, Regulations, and Future Directions

Razi Arshad, Muhammad Rizwan Asghar
13 citations
IEEE Communications Surveys & Tutorials
Privacy, Security, and Data Protection
14.72
article

Characterization and Quantification of User Privacy: Key Challenges, Regulations, and Future Directions

Razi Arshad, Muhammad Rizwan Asghar
article en
13 citations

Abstract

The protection of user privacy in the digital age has become an important concern with the increase in data-driven technologies. These technologies generate large amounts of user data that provide opportunities for organisations to improve the quality of their user services. The publication of user-generated data creates risks for exposing an individual’s privacy. In the literature, identity theft and attribute disclosure are the two most common attacks on user-generated data. These privacy issues require data publishing organisations to protect user privacy. International regulatory standards provide consistent frameworks and guidelines that data publishing organisations can use to secure user-sensitive data. This survey discusses the characterisation and quantification of user privacy in compliance with international regulatory standards. We provide an overview of existing regulations and frameworks related to user privacy, highlighting their strengths, limitations, and implications for individuals and businesses. We discuss the steps involved in characterising and quantifying user privacy within the framework of international regulatory standards, privacy tools, and real-world case studies. Furthermore, we share promising directions for future research and development, including advancements in privacy techniques, interdisciplinary collaborations, and the role of emerging technologies. By addressing these challenges and creating a way forward, this work aims to contribute to the ongoing research on user privacy and promote the development of effective strategies for safeguarding user personal data in an increasingly interconnected world.

IEEE Communications Surveys & TutorialsVol. 27(5)
University of Surrey (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Privacy, Security, and Data Protection
14.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.