research-article

Aquilis: Using Contextual Integrity for Privacy Protection on Mobile Devices

Authors:

Abhishek Kumar,

Pan HuiAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 4, Issue 4

Article No.: 137, Pages 1 - 28

https://doi.org/10.1145/3432205

Published: 18 December 2020 Publication History

Abstract

Smartphones are nowadays the dominant end-user device. As a result, they have become gateways to all users' communications, including sensitive personal data. In this paper, we present Aquilis, a privacy-preserving system for mobile platforms following the principles of contextual integrity to define the appropriateness of an information flow. Aquilis takes the form of a keyboard that reminds users of potential privacy leakages through a simple three-colour code. Aquilis considers the instantaneous privacy risk related to posting information (Local Sensitivity), the risk induced by repeating information over time (Longitudinal Sensitivity) and on different platforms (Cross-platform Sensitivity). Considering 50% of Aquilis warnings decreases the proportion of inappropriate information by up to 30%. Repeating information over time or in a broader exposure context increases the risk by 340% in a one-to-one context. We develop our own labeled privacy dataset of over 1000 input texts to evaluate Aquilis' accuracy. Aquilis significantly outperforms other state-of-the-art methods (F-1-0.76). Finally, we perform a user study with 35 highly privacy-aware participants. Aquilis privacy metric is close to users' privacy preferences (average divergence of 1.28/5). Users found Aquilis useful (4.41/5), easy to use (4.4/5), and agreed that Aquilis improves their online privacy awareness (4.04/5).

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Cited By

Fan LZhang SKong YYi XWang YXu XYu CLi HShi Y(2024)Evaluating the Privacy Valuation of Personal Data on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785098:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678509
Xu AZhou ZMiyazaki KYoshikawa RHosio SYatani K(2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631439
Waqas MRafiq SYa CWu J(2024)Assessing the relationship between mobile devices usage, self-efficacy and online information seeking behavior: a demographic analysis in academic rural contextAslib Journal of Information Management10.1108/AJIM-10-2023-0446Online publication date: 21-Jun-2024
https://doi.org/10.1108/AJIM-10-2023-0446
Show More Cited By

Index Terms

Aquilis: Using Contextual Integrity for Privacy Protection on Mobile Devices
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
      1. Ubiquitous computing
    2. Ubiquitous and mobile devices
      1. Smartphones
2. Security and privacy
  1. Human and societal aspects of security and privacy

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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 4, Issue 4

December 2020

1356 pages

EISSN:2474-9567

DOI:10.1145/3444864

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Copyright © 2020 ACM.

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Publication History

Published: 18 December 2020

Published in IMWUT Volume 4, Issue 4

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Fan LZhang SKong YYi XWang YXu XYu CLi HShi Y(2024)Evaluating the Privacy Valuation of Personal Data on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785098:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678509
Xu AZhou ZMiyazaki KYoshikawa RHosio SYatani K(2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631439
Waqas MRafiq SYa CWu J(2024)Assessing the relationship between mobile devices usage, self-efficacy and online information seeking behavior: a demographic analysis in academic rural contextAslib Journal of Information Management10.1108/AJIM-10-2023-0446Online publication date: 21-Jun-2024
https://doi.org/10.1108/AJIM-10-2023-0446
Alhirabi NBeaumont SLlanos JMeedeniya DRana OPerera C(2023)PARROTProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808807:1(1-37)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580880
Fernandez CBraud THui PLiKamWa RHengartner U(2022)Implementing GDPR for mobile and ubiquitous computingProceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications10.1145/3508396.3512880(88-94)Online publication date: 9-Mar-2022
https://dl.acm.org/doi/10.1145/3508396.3512880
Majethia RGhosh SNolasco HShahid FViswanath VShehu IZhao Y(2022)Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021IEEE Pervasive Computing10.1109/MPRV.2022.316006321:2(87-99)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1109/MPRV.2022.3160063
Li TNeundorfer EAgarwal YHong J(2021)HoneysuckleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34780975:3(1-27)Online publication date: 14-Sep-2021
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Kumar ABraud TLee LHui PShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)TheophanyProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475507(2056-2064)Online publication date: 17-Oct-2021
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