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Content analysis and visualization of privacy policy using privacy management.

Authors :
Regulwar, Ganesh B.
Majji, Ramachandro
Kottu, Santosh Kumar
Kachi, Anvesh
Sureddy, Ranjith Reddy
Source :
AIP Conference Proceedings. 2024, Vol. 2492 Issue 1, p1-9. 9p.
Publication Year :
2024

Abstract

In this digital world, everything is getting online this made user-information a vital asset. A service provider needs to communicate a user that, how this data is handled while serving to their request. This information about how data is gathered, the way of collection, its management and the purpose of data collection is specified in a privacy policy. In order to give complete, understand ability of data handled by a service provider, privacy policies should be readable and should not be vague. More often these documents are complex to understand, which implies that user privacy is at high risk. Hence, this report elaborates on how user awareness can be increased about privacy by providing an analysis tool that uses visualization techniques. This report also focuses on problems and test faced by the users' side. This mainly because of structure less and lack of a clear description of users' privacy. This paper additionally provides studies on utilizing device mastering to examine privateness guidelines and answers to visualize them. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2492
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
175796836
Full Text :
https://doi.org/10.1063/5.0196242