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PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps

Authors:

Toby Jia-Jun Li,

Matthew Fredrikson,

Yuvraj Agarwal,

Jason I. HongAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 76, Pages 1 - 26

https://doi.org/10.1145/3130941

Published: 11 September 2017 Publication History

Abstract

Smartphone app developers often access and use privacy-sensitive data to create apps with rich and meaningful interactions. However, it can be challenging for auditors and end-users to know what granularity of data is being used and how, thereby hindering assessment of potential risks. Furthermore, developers lack easy ways of offering transparency to users regarding how personal data is processed, even if their intentions are to make their apps more privacy friendly. To address these challenges, we introduce PrivacyStreams, a functional programming model for accessing and processing personal data as a stream. PrivacyStreams is designed to make it easy for developers to make use of personal data while simultaneously making it easier to analyze how that personal data is processed and what granularity of data is actually used. We present the design and implementation of PrivacyStreams, as well as several user studies and experiments to demonstrate its usability, utility, and support for privacy.

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Cited By

Fujii AMurao KKostakos VKay JHoang T(2024)Water Level Recognition by Analyzing the Sound when Pouring WaterCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678440(464-469)Online publication date: 5-Oct-2024
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Liu JXu WLi Y(2024)ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and SharingProceedings of the Workshop on Edge and Mobile Foundation Models10.1145/3662006.3662063(18-23)Online publication date: 3-Jun-2024
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Index Terms

PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Usability in security and privacy
  2. Software and application security
    1. Software security engineering
2. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. API languages

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

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Copyright © 2017 ACM.

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Publication History

Published: 11 September 2017

Accepted: 01 July 2017

Received: 01 May 2017

Published in IMWUT Volume 1, Issue 3

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