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Abstract / Description of output
Privacy management in online systems is a complex task. Recently, contextual integrity theory has been introduced to model privacy, which considers the social contexts of users before making privacy decisions. However, having a practical application based on this theory is not straightforward. In this paper, we propose an agent based framework for privacy policy reasoning that combines the power of ontologies together with argumentation techniques to resolve privacy conflicts. First, we propose an ontology that represents the contextual integrity theory. We then introduce an argumentation based dialogue framework that could: (i) reason about contextual norms to resolve privacy conflicts among agents, and (ii) provide justifications to the agents during multi-party dialogues. We apply our approach to privacy scenarios in various contexts where each scenario has different challenges to address. We conclude with theoretical results to show the effectiveness of the framework.
Original language | English |
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Title of host publication | Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems |
Place of Publication | Richland, SC |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems |
Pages | 2253–2261 |
Number of pages | 9 |
ISBN (Electronic) | 9781450394321 |
DOIs | |
Publication status | Published - 30 May 2023 |
Event | The 22nd International Conference on Autonomous Agents and Multiagent Systems - ExCel London, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 Conference number: 22 https://aamas2023.soton.ac.uk/ |
Conference
Conference | The 22nd International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS 2023 |
Country/Territory | United Kingdom |
City | London |
Period | 29/05/23 → 2/06/23 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- privacy
- contextual integrity
- privacy ontology
- argumentation
Fingerprint
Dive into the research topics of 'Contextual Integrity for Argumentation-based Privacy Reasoning'. Together they form a unique fingerprint.Projects
- 1 Finished
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REPHRAIN: Research centre on Privacy, Harm Reduction and Adversarial Influence online
Elahi, T., Nissen, B. & Vaniea, K.
1/10/20 → 30/09/22
Project: Research