Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity-Reference-Cited by-同舟云学术

Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity

Published:2018-07-05 Issue:2 Volume:2 Page:1-23
ISSN:2474-9567
Container-title:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
language:en
Short-container-title:Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Author:

Apthorpe Noah¹,Shvartzshnaider Yan²,Mathur Arunesh¹,Reisman Dillon¹,Feamster Nick¹

Affiliation:

1. Princeton University, Computer Science Department, Princeton, NJ, USA

2. New York University, Computer Science Department, New York, NY, USA and Princeton University, Computer Science Department, Princeton, NJ, USA

Abstract

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 norms at scale. We apply the method to discover privacy norms in the smart home context, surveying 1,731 American adults on Amazon Mechanical Turk. For $2,800 and in less than six hours, we measured the acceptability of 3,840 information flows representing a combinatorial space of smart home devices sending consumer information to first and third-party recipients under various conditions. Our results provide actionable recommendations for IoT device manufacturers, including design best practices and instructions for adopting our method for further research.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Link

https://dl.acm.org/doi/pdf/10.1145/3214262

Reference61 articles.

1. Monica Anderson. 2015. Key takeaways on mobile apps and privacy. http://www.pewresearch.org/fact-tank/2015/11/10/key-takeaways-mobile-apps/ Monica Anderson. 2015. Key takeaways on mobile apps and privacy. http://www.pewresearch.org/fact-tank/2015/11/10/key-takeaways-mobile-apps/

2. Paul Ashley Satoshi Hada Günter Karjoth Calvin Powers and Matthias Schunter. 2003. Enterprise privacy authorization language (EPAL). IBM Research (2003). Paul Ashley Satoshi Hada Günter Karjoth Calvin Powers and Matthias Schunter. 2003. Enterprise privacy authorization language (EPAL). IBM Research (2003).

3. Itai Asseo Maggie Johnson Bob Nilsson Neti Chalapathy and TJ Costello. 2016. The Internet of things: Riding the wave in higher education. Educause Review (2016) 11--31. Itai Asseo Maggie Johnson Bob Nilsson Neti Chalapathy and TJ Costello. 2016. The Internet of things: Riding the wave in higher education. Educause Review (2016) 11--31.

4. The mismeasurement of privacy

Cited by 75 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Useful shortcuts: Using design heuristics for consent and permission in smart home devices;International Journal of Human-Computer Studies;2024-02

2. Understanding Privacy in Virtual Reality Classrooms: A Contextual Integrity Perspective;IEEE Security & Privacy;2024-01

3. Privacy in the Age of Neurotechnology: Investigating Public Attitudes towards Brain Data Collection and Use;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

4. "You Shouldn't Need to Share Your Data": Perceived Privacy Risks and Mitigation Strategies Among Privacy-Conscious Smart Home Power Users;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

5. Penser la protection des renseignements inférés sur la santé des personnes : du contrôle individuel à l’encadrement des utilisations en fonction de leur légitimité;Éthique publique;2023-09-27