From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
Abstract
Although there are privacy-enhancing tools designed to protect users' online privacy, it is surprising to see a lack of user-centric solutions allowing privacy control based on the joint assessment of privacy risks and benefits, due to data disclosure to multiple platforms. In this paper, we propose a conceptual framework to fill the gap: aiming at the user-centric privacy protection, we show the framework can not only assess privacy risks in using online services but also the added values earned from data disclosure. Through following a human-in-the-loop approach, it is expected the framework provides a personalized solution via preference learning, continuous privacy assessment, behavior monitoring and nudging. Finally, we describe a case study towards "leisure travelers" and several future areas to be studied in the ongoing project.
Cite
@article{arxiv.1909.09942,
title = {From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework},
author = {Yang Lu and Shujun Li and Athina Ioannou and Iis Tussyadiah},
journal= {arXiv preprint arXiv:1909.09942},
year = {2019}
}
Comments
18 pages, 6 figures, accepted to DependSys 2019 (5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications), to be held from November 12-15, 2019 in Guangzhou, China, to be published in a volume of Communications in Computer and Information Science by Springer