IRyP: A purely edge-based visual privacy-respecting system for mobile cameras

With the growing popularity of mobile devices that have built-in cameras, capturing images has become a trivial job for ordinary people, who share the images with their friends or the public online. However, such digital images are often taken without the consent of some photographed persons, hence leading to privacy concerns. In this paper, we propose iRyP, a purely edge-based privacy-respecting system for mobile cameras. In order to meet the requirements of efficiency and usability, we propose to piggyback privacy policies in the advertising messages of Bluetooth Low Energy (BLE), which has been widely deployed in most mobile devices. As such, privacy policies of people in a photo view can be delivered timely and automatically. Moreover, we propose to use a perceptual hashing algorithm for fast face matching. To improve detection accuracy, we also design several new techniques for face-related image processing. We implement and evaluate a prototype system purely based on the Android platform. Our experiments show that iRyP can meet our design requirements and is practical and ready to use.

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  • IRyP-wisec2020.pdf

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Metadata

Work Title IRyP: A purely edge-based visual privacy-respecting system for mobile cameras
Access
Open Access
Creators
  1. Yuanyi Sun
  2. Shiqing Chen
  3. Sencun Zhu
  4. Yu Chen
Keyword
  1. Mobile cameras
  2. Privacy protection
  3. Face matching
  4. Visual Privacy
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. WiSec '20: Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks
Publication Date July 8, 2020
Publisher Identifier (DOI)
  1. https://doi.org/10.1145/3395351.3399341
Deposited February 27, 2023

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Work History

Version 1
published

  • Created
  • Added IRyP-wisec2020.pdf
  • Added Creator Yuanyi Sun
  • Added Creator Shiqing Chen
  • Added Creator Sencun Zhu
  • Added Creator Yu Chen
  • Published
  • Updated Keyword, Publisher Show Changes
    Keyword
    • Mobile cameras, Privacy protection, Face matching, Visual Privacy
    Publisher
    • WiSec '20: Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks