Lu, Yang ORCID: https://orcid.org/0000-0002-0583-2688, Li, S., Ioannou, A. and Tussyadiah, I. (2019) From Data Disclosure to Privacy Nudges: A Privacy-Aware and User-Centric Personal Data Management Framework. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimerca, S. and Ren, Y., (eds.) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science book series, 1123 (1123). Springer
Full text not available from this repository.Abstract
Although there are many 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 user-centric privacy protection, we show that the framework can assess not only 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 that the framework can provide a personalized solution via preference learning, continuous privacy assessment, behavioral monitoring and nudging. Finally, we describe a case study about “leisure travelers” and some areas for further research.
University Staff: Request a correction | RaY Editors: Update this record