Contextual Integrity for Argumentation-based Privacy Reasoning

Gideon Ogunniye, Nadin Kokciyan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
Place of PublicationRichland, SC
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Number of pages9
ISBN (Electronic)9781450394321
Publication statusPublished - 30 May 2023
EventThe 22nd International Conference on Autonomous Agents and Multiagent Systems, 2023 - London, United Kingdom
Duration: 29 May 20232 Jun 2023
Conference number: 22


ConferenceThe 22nd International Conference on Autonomous Agents and Multiagent Systems, 2023
Abbreviated titleAAMAS 2023
Country/TerritoryUnited Kingdom
Internet address

Keywords / Materials (for Non-textual outputs)

  • privacy
  • contextual integrity
  • privacy ontology
  • argumentation


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