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From Data Flows to Privacy-Benefit Trade-offs: A User-Centric Semantic Model

Lu, Yang, Li, Shujun (2022) From Data Flows to Privacy-Benefit Trade-offs: A User-Centric Semantic Model. Security and Privacy, . pp. 1-24. E-ISSN 2475-6725. (doi:10.1002/spy2.225) (KAR id:93764)

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Official URL
http://doi.org/10.1002/spy2.225

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. This is because sharing personal information can bring various benefits for themselves and others. However, data disclosure activities can lead to unexpected privacy issues, and there is a general lack of tools that help to improve users' awareness of the subtle privacy-benefit trade-offs 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 have been disclosed to different entities and what benefits the user gained through such data disclosures. The model allows automatic analysis of privacy-benefit trade-offs around a target user's data sharing activities, therefore it can support development of user-centric software tools for people to better manage their data disclosure activities to achieve a better balance between privacy and benefits in the cyber-physical world.

Item Type: Article
DOI/Identification number: 10.1002/spy2.225
Uncontrolled keywords: consumer behavior, cost benefit analysis, cyber-physical systems, data privacy, information security, network theory (graphs), semantic web, social network services, ubiquitous computing
Subjects: H Social Sciences > HF Commerce > HF5548.32 E-commerce
Q Science > QA Mathematics (inc Computing science)
Q Science > QA Mathematics (inc Computing science) > QA 9 Formal systems, logics
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105.888 World Wide Web
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
University-wide institutes > Institute of Cyber Security for Society
Funders: [18] EPSRC
Depositing User: Shujun Li
Date Deposited: 28 Mar 2022 18:12 UTC
Last Modified: 29 Mar 2022 08:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93764 (The current URI for this page, for reference purposes)
Lu, Yang: https://orcid.org/0000-0002-0583-2688
Li, Shujun: https://orcid.org/0000-0001-5628-7328
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