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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues

Lu, Yang ORCID: https://orcid.org/0000-0002-0583-2688 and Shujun, Li (2020) From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues. In: Scholar Space. Proceedings of the 53rd Hawaii International Conference on System Sciences. University of Hawaii

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1. From Data Flows to Privacy Issues - A User-Centric Semantic Model for Representing and Discovering Privacy Issues.pdf - Accepted Version
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Abstract

In today's highly connected cyber-physical world, people are constantly disclosing personal and sensitive data to different organizations and other people through the use of online and physical services. Such data disclosure activities can lead to unexpected privacy issues. However, there is a general lack of tools that help to improve users' awareness of such privacy issues and to make more informed decisions on their data disclosure activities in wider contexts. To fill this gap, this paper presents a novel user-centric, data-flow graph based semantic model, which can show how a given user's personal and sensitive data are disclosed to different entities and how different types of privacy issues can emerge from such data disclosure activities. The model enables both manual and automatic analysis of privacy issues, therefore laying the theoretical foundation of building data-driven and user-centric software tools for people to better manage their data disclosure activities in the cyber-physical world.

Item Type: Book Section
Status: Published
DOI: https://doi.org/10.24251/hicss.2020.799
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
H Social Sciences > HB Economic Theory > HB135-147 Mathematical economics. Quantitative methods
H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.9.H85 Human-Computer Interaction; Virtual Reality; Mixed Reality; Augmented Reality ; Extended Reality
Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
School/Department: School of Science, Technology and Health
URI: http://ray.yorksj.ac.uk/id/eprint/5251

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