research-article

Contextual Integrity for Argumentation-based Privacy Reasoning

Authors:

Gideon Ogunniye,

Nadin KökciyanAuthors Info & Claims

AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

Pages 2253 - 2261

Published: 30 May 2023 Publication History

Abstract

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.

References

[1]

Gregory D Abowd, Anind K Dey, Peter J Brown, Nigel Davies, Mark Smith, and Pete Steggles. 1999. Towards a better understanding of context and context-awareness. In International symposium on handheld and ubiquitous computing. Springer, 304--307.

Digital Library

[2]

Noah Apthorpe, Sarah Varghese, and Nick Feamster. 2019. Evaluating the Contextual Integrity of Privacy Regulation: Parents'$$IoT$$ Toy Privacy Norms Versus $$COPPA$$. In 28th USENIX Security Symposium (USENIX Security 19). 123--140.

[3]

Adam Barth, Anupam Datta, John C Mitchell, and Helen Nissenbaum. 2006. Privacy and contextual integrity: Framework and applications. In 2006 IEEE symposium on security and privacy (S&P'06). IEEE, 15--pp.

Digital Library

[4]

Davide Calvaresi, Michael Schumacher, and Jean-Paul Calbimonte. 2020. Personal data privacy semantics in multi-agent systems interactions. In International Conference on Practical Applications of Agents and Multi-Agent Systems. Springer, 55--67.

Digital Library

[5]

Natalia Criado and Jose M Such. 2015. Implicit contextual integrity in online social networks. Information Sciences, Vol. 325 (2015), 48--69.

Digital Library

[6]

Phan Minh Dung. 1995. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial intelligence, Vol. 77, 2 (1995), 321--357.

[7]

Ricard L Fogues, Pradeep K Murukannaiah, Jose M Such, and Munindar P Singh. 2017. Sharing policies in multiuser privacy scenarios: Incorporating context, preferences, and arguments in decision making. ACM Transactions on Computer-Human Interaction (TOCHI), Vol. 24, 1 (2017), 1--29.

Digital Library

[8]

Ricard L Fogues, Pradeep Murukanniah, Jose M Such, Agustin Espinosa, Ana Garcia-Fornes, and Munindar Singh. 2015. Argumentation for multi-party privacy management. (2015).

[9]

Jeff Heflin et al. 2007. An introduction to the owl web ontology language. Lehigh University. National Science Foundation (NSF), Vol. 7 (2007).

[10]

Ian Horrocks, Peter F Patel-Schneider, Harold Boley, Said Tabet, Benjamin Grosof, Mike Dean, et al. 2004. SWRL: A semantic web rule language combining OWL and RuleML. W3C Member submission, Vol. 21, 79 (2004), 1--31.

[11]

Imrul Kayes and Adriana Iamnitchi. 2013. Aegis: A semantic implementation of privacy as contextual integrity in social ecosystems. In 2013 Eleventh Annual Conference on Privacy, Security and Trust. IEEE, 88--97.

[12]

Dilara Kekulluoglu, Nadin Kökciyan, and Pinar Yolum. 2018. Preserving Privacy As Social Responsibility in Online Social Networks. ACM Transactions on Internet Technology (TOIT), Vol. 18, 4, Article 42 (2018), 22 pages.

Digital Library

[13]

Dilara Keküllüoglu, Walid Magdy, and Kami Vaniea. 2020. Analysing privacy leakage of life events on twitter. In 12th ACM conference on web science. 287--294.

Digital Library

[14]

Nadin Kökciyan, Isabel Sassoon, Elizabeth Sklar, Sanjay Modgil, and Simon Parsons. 2021. Applying Metalevel Argumentation Frameworks to Support Medical Decision Making. IEEE Intelligent Systems, Vol. 36, 2 (2021), 64--71.

[15]

Nadin Kökciyan, Nefise Yaglikci, and Pinar Yolum. 2017a. An Argumentation Approach for Resolving Privacy Disputes in Online Social Networks. ACM Transactions on Internet Technology (TOIT), Vol. 17, 3, Article 27 (2017), 27:1--27:22 pages.

Digital Library

[16]

Nadin Kökciyan, Nefise Yaglikci, and Pinar Yolum. 2017b. An argumentation approach for resolving privacy disputes in online social networks. ACM Transactions on Internet Technology (TOIT), Vol. 17, 3 (2017), 1--22.

Digital Library

[17]

Nadin Kökciyan and Pinar Yolum. 2016. PriGuard: A Semantic Approach to Detect Privacy Violations in Online Social Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 28, 10 (2016), 2724--2737.

Digital Library

[18]

Nadin Kökciyan and Pinar Yolum. 2017. Context-Based Reasoning on Privacy in Internet of Things. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI). 4738--4744.

[19]

Nadin Kökciyan and Pinar Yolum. 2020. TURP: Managing Trust for Regulating Privacy in Internet of Things. IEEE Internet Computing, Vol. 24, 6 (2020), 9--16.

[20]

Nadin Kökciyan and Pinar Yolum. 2022. Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, Lud De Raedt (Ed.). International Joint Conferences on Artificial Intelligence Organization, 703--709. Main Track.

[21]

A Kurtan and Pinar Yolum. 2021. Assisting humans in privacy management: an agent-based approach. Autonomous Agents and Multi-Agent Systems, Vol. 35, 1 (2021), 1--33.

Digital Library

[22]

Roberto Marmo. 2015. Social Commerce Using Social Network and E-Commerce. In Encyclopedia of Information Science and Technology, Third Edition. IGI Global, 2351--2359.

[23]

Deborah L McGuinness, Frank Van Harmelen, et al. 2004. OWL web ontology language overview. W3C recommendation, Vol. 10, 10 (2004), 2004.

[24]

Sanjay Modgil and Henry Prakken. 2014. The ASPIC framework for structured argumentation: a tutorial. Argument & Computation, Vol. 5, 1 (2014), 31--62.

[25]

Francesca Mosca and Jose Such. 2022. An explainable assistant for multiuser privacy. Autonomous Agents and Multi-Agent Systems, Vol. 36, 1 (2022), 1--45.

Digital Library

[26]

Helen Nissenbaum. 2009. Privacy in context. Stanford University Press.

[27]

Helen Nissenbaum. 2011. A contextual approach to privacy online. Daedalus, Vol. 140, 4 (2011), 32--48.

[28]

Gideon Ogunniye, Alice Toniolo, and Nir Oren. 2017. A Dynamic Model of Trust in Dialogues. In International Workshop on Theorie and Applications of Formal Argumentation. Springer, 211--226.

[29]

Nir Oren, Antonino Rotolo, Leendert van der Torre, and Serena Villata. 2013. Norms and argumentation. In Agreement Technologies. Springer, 233--249.

[30]

Henry Prakken. 2010. An abstract framework for argumentation with structured arguments. Argument and Computation, Vol. 1, 2 (2010), 93--124.

[31]

Ramon Ruiz-Dolz, José Alemany, Stella Heras, and Ana Garc'ia-Fornes. 2019. Automatic Generation of Explanations to Prevent Privacy Violations. In XAILA@ JURIX.

[32]

Florian Schaub, Bastian Könings, and Michael Weber. 2015. Context-adaptive privacy: Leveraging context awareness to support privacy decision making. IEEE Pervasive Computing, Vol. 14, 1 (2015), 34--43.

Digital Library

[33]

Yan Shvartzshnaider, Noah Apthorpe, Nick Feamster, and Helen Nissenbaum. 2019. Going against the (appropriate) flow: A contextual integrity approach to privacy policy analysis. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Vol. 7. 162--170.

[34]

Evren Sirin, Bijan Parsia, Bernardo Cuenca Grau, Aditya Kalyanpur, and Yarden Katz. 2007. Pellet: A practical OWL-DL reasoner. Journal of Web Semantics, Vol. 5, 2 (2007), 51--53. Software Engineering and the Semantic Web.

Digital Library

[35]

Anna C. Squicciarini, Cornelia Caragea, and Rahul Balakavi. 2017. Toward Automated Online Photo Privacy. ACM Transactions on the Web, Vol. 11, 1, Article 2 (April 2017), 29 pages.

Digital Library

[36]

Jose M Such and Michael Rovatsos. 2016. Privacy policy negotiation in social media. ACM Transactions on Autonomous and Adaptive Systems (TAAS), Vol. 11, 1 (2016), 1--29.

Digital Library

[37]

Onuralp Ulusoy and Pinar Yolum. 2021. PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy. ACM Transactions on Internet Technology, Vol. 22, 1, Article 27 (sep 2021), 32 pages.

Cited By

Zhou HGoel MAgarwal Y(2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642897

Index Terms

Contextual Integrity for Argumentation-based Privacy Reasoning
1. Security and privacy
  1. Formal methods and theory of security
    1. Logic and verification
  2. Human and societal aspects of security and privacy

Recommendations

Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity

The proliferation of Internet of Things (IoT) devices for consumer "smart" homes raises concerns about user privacy. We present a survey method based on the Contextual Integrity (CI) privacy framework that can quickly and efficiently discover privacy ...
Handling privacy as contextual integrity in decentralized virtual communities: The PrivaCIAS framework

Contextual Integrity has been proposed to define privacy in an unusual way. Most approaches take into account a sensitivity level or a “privacy circle”: the information is said to be either private or public and to be constrained to a given group of ...
Privacy Ontology Support for E-Commerce

Privacy is becoming increasingly important due to the advent of e-commerce. E-commerce applications frequently require customers to divulge many personal details about themselves that must be protected carefully in accordance with privacy principles and ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

May 2023

3131 pages

ISBN:9781450394321

General Chairs:
Noa Agmon
Bar-Ilan University, Israel
,
Bo An
Nanyang Technological University, Singapore
,
Program Chairs:
Alessandro Ricci
University of Bologna, Italy
,
William Yeoh
Washington University in St. Louis, USA

Sponsors

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 30 May 2023

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

This research was funded by the UKRI Strategic Priorities Fund via the REPHRAIN Research Centre

Conference

AAMAS '23

Sponsor:

SIGAI

AAMAS '23: International Conference on Autonomous Agents and Multiagent Systems

May 29 - June 2, 2023

London, United Kingdom

Acceptance Rates

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
45
Total Downloads

Downloads (Last 12 months)32
Downloads (Last 6 weeks)3

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Zhou HGoel MAgarwal Y(2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642897

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents