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Protecting mobile users from visual privacy attacks

Published: 13 September 2014 Publication History

Abstract

An increasing number of people are using mobile devices in public places such as buses, trains, airports, coffee shops, and restaurants. Though the flexibility to work remotely using mobile devices make people more productive, this new working practice incurs un-authorized visual access of the mobile display by the bystanders, which we call visual privacy attack. Failing to prevent un-authorized people viewing sensitive information such as passwords, emails, and business information could lead to financial loss, public exposure, and embarrassment. In this paper, we propose a solution that captures the surrounding environment through user's mobile phone camera and determines whether any un-authorized person is obtaining visual access to the user's mobile screen. We develop an Android application, iAlert, that runs as a background process on a user's mobile device and alerts the user based on whether or not the displayed text on the screen is readable by bystanders.

References

[1]
Eye chart. http://www.teachengineering.org/collection/cub_/activities/cub_human/cub_human_lesson06_activity1_eyechart.pdf.
[2]
Face detector. http://developer.android.com/reference/android/media/FaceDetector.Face.html.
[3]
How screen privacy works. http://solutions.3m.com/wps/portal/3M/en_US/3MScreens_NA/Protectors.
[4]
Visual data security white paper. http://www.visualdatasecurity.eu/wp-content/uploads/2012/07/Visual-Data-Security-White-Paper.pdf.
[5]
Kim, S.-H., Kim, J.-W., Kim, S.-Y., and Cho, H.-G. A new shoulder-surfing resistant password for mobile environments. In ICUIMC (2011), 27:1--27:8.
[6]
Kumar, M., Garfinkel, T., Boneh, D., and Winograd, T. Reducing shoulder-surfing by using gaze-based password entry. In SOUPS (2007), 13--19.

Cited By

View all
  • (2024)ShouldAR: Detecting Shoulder Surfing Attacks Using Multimodal Eye Tracking and Augmented RealityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785738:3(1-23)Online publication date: 9-Sep-2024
  • (2023)Saliency-Aware Privacy Protection in Augmented Reality SystemsProceedings of the First Workshop on Metaverse Systems and Applications10.1145/3597063.3597358(1-6)Online publication date: 18-Jun-2023
  • (2023)Don't Peek at My Chart: Privacy‐preserving Visualization for Mobile DevicesComputer Graphics Forum10.1111/cgf.1481842:3(137-148)Online publication date: 27-Jun-2023
  • Show More Cited By

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    cover image ACM Conferences
    UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
    September 2014
    1409 pages
    ISBN:9781450330473
    DOI:10.1145/2638728
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 13 September 2014

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    Author Tags

    1. shoulder surfing
    2. visual privacy

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    UbiComp '14
    UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
    September 13 - 17, 2014
    Washington, Seattle

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2024)ShouldAR: Detecting Shoulder Surfing Attacks Using Multimodal Eye Tracking and Augmented RealityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785738:3(1-23)Online publication date: 9-Sep-2024
    • (2023)Saliency-Aware Privacy Protection in Augmented Reality SystemsProceedings of the First Workshop on Metaverse Systems and Applications10.1145/3597063.3597358(1-6)Online publication date: 18-Jun-2023
    • (2023)Don't Peek at My Chart: Privacy‐preserving Visualization for Mobile DevicesComputer Graphics Forum10.1111/cgf.1481842:3(137-148)Online publication date: 27-Jun-2023
    • (2023)Privacy Protection Against Shoulder Surfing in Mobile EnvironmentsMobile and Ubiquitous Systems: Computing, Networking and Services10.1007/978-3-031-34776-4_8(133-152)Online publication date: 27-Jun-2023
    • (2023)“They see me scrollin”—Lessons Learned from Investigating Shoulder Surfing Behavior and Attack Mitigation StrategiesHuman Factors in Privacy Research10.1007/978-3-031-28643-8_10(199-218)Online publication date: 10-Mar-2023
    • (2021)The Interplay between Personal Relationships & Shoulder Surfing MitigationProceedings of Mensch und Computer 202110.1145/3473856.3474006(338-343)Online publication date: 5-Sep-2021
    • (2021)Exploring Privacy Aspects of Smartphone NotificationsProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472065(1-13)Online publication date: 27-Sep-2021
    • (2021)iScreen: A Pure Software-based Screen Privacy Protection System for Mobile Devices2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)10.1109/SWC50871.2021.00012(9-16)Online publication date: Oct-2021
    • (2020)The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research DirectionsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376840(1-21)Online publication date: 21-Apr-2020
    • (2019)User strategies for mobile device-based interactions to prevent shoulder surfingProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3368412(1-5)Online publication date: 26-Nov-2019
    • Show More Cited By

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