ScreenConcealer: Privacy-protection System with Obfuscations for Screen Sharing

During screen sharing in virtual meetings, there have been many cases of unintentional disclosure of personal data that can directly identify users (e.g., names or addresses) or private information that directly does not identify users but that they do not want to share (e.g., users’ preferences or online activities). We propose a system that protects personal data and private information on web browsers from being viewed by others. The system automatically takes screenshots of the web-browser window and detects personal data and private information from the images. The system then obfuscates the detected area with blocking or blurring, and displays it as a duplicated window. We present an experiment on a model that detects personal data and private information on web browsers to implement our system. We also introduce several features to improve user experience.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3672539.3686750
Citations
3
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
3.40
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article

ScreenConcealer: Privacy-protection System with Obfuscations for Screen Sharing

Yuki Igarashi, Kaori Ikematsu, Mizuki Ishida
3 citations
Privacy, Security, and Data Protection
3.40
article

ScreenConcealer: Privacy-protection System with Obfuscations for Screen Sharing

Yuki Igarashi, Kaori Ikematsu, Mizuki Ishida
article en
3 citations

Abstract

During screen sharing in virtual meetings, there have been many cases of unintentional disclosure of personal data that can directly identify users (e.g., names or addresses) or private information that directly does not identify users but that they do not want to share (e.g., users’ preferences or online activities). We propose a system that protects personal data and private information on web browsers from being viewed by others. The system automatically takes screenshots of the web-browser window and detects personal data and private information from the images. The system then obfuscates the detected area with blocking or blurring, and displays it as a duplicated window. We present an experiment on a model that detects personal data and private information on web browsers to implement our system. We also introduce several features to improve user experience.

Ochanomizu University (JP)
Reduced inequalities
Openalex Percentile: Top 7%
Privacy, Security, and Data Protection
3.40
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ScreenConcealer: Privacy-protection System with Obfuscations for Screen Sharing — Yuki Igarashi, Kaori Ikematsu, et al. · (2024) | TGRS Research Map | TGRS