Zooming Into Video Conferencing Privacy
نویسندگان
چکیده
The COVID-19 pandemic outbreak, with its related social distancing and shelter-in-place measures, has dramatically affected ways in which people communicate each other, forcing to find new collaborate, study, celebrate special occasions, meet family friends. One of the most popular solutions that have emerged is use video conferencing applications replace face-to-face meetings virtual meetings. This resulted unprecedented growth number users. In this we explored privacy issues may be at risk by attending We extracted private information from collage images meeting participants are publicly posted on Web. used image processing, text recognition tools, as well network analysis explore our web crawling curated dataset over 15,700 images, 142,000 face participants. demonstrate conference users facing prevalent security threats. Our results indicate it relatively easy collect thousands available extract personal about participants, including their age, gender, usernames, sometimes even full names. type data can vastly easily jeopardize people's both online real-world, affecting not only adults but also more vulnerable segments society, such young children older adults. Finally, show cross-referencing facial put additional risks they aware possible identify appear several meetings, thus providing a potential maliciously aggregate different sources target individual.
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ژورنال
عنوان ژورنال: IEEE Transactions on Computational Social Systems
سال: 2023
ISSN: ['2373-7476', '2329-924X']
DOI: https://doi.org/10.1109/tcss.2022.3231987