利用ERNIE扩展对健康相关网站进行跟踪的深入技术和法律分析

Vera Wesselkamp, Imane Fouad, C. Santos, Yanis Boussad, Nataliia Bielova, A. Legout
{"title":"利用ERNIE扩展对健康相关网站进行跟踪的深入技术和法律分析","authors":"Vera Wesselkamp, Imane Fouad, C. Santos, Yanis Boussad, Nataliia Bielova, A. Legout","doi":"10.1145/3463676.3485603","DOIUrl":null,"url":null,"abstract":"Searching the Web to find doctors and make appointments online is a common practice nowadays. However, simply visiting a doctors website might disclose health related information. As the GDPR only allows processing of health data with explicit user consent, health related websites must ask consent before any data processing, in particular when they embed third party trackers.Admittedly, it is very hard for owners of such websites to both detect the complex tracking practices that exist today and to ensure legal compliance. In this paper, we present ERNIE, a browser extension we designed to visualise six state-of-the-art tracking techniques based on cookies. Using ERNIE, we analysed 385 health related websites that users would visit when searching for doctors in Germany, Austria, France, Belgium, and Ireland. More specifically, we explored the tracking behavior before any interaction with the consent pop-up and after rejection of cookies on websites of doctors, hospitals, and health related online phone-books. We found that at least one form of tracking occurs on 62% of the websites before interacting with the consent pop-up, and 15% of websites include tracking after rejection. Finally, we performed a detailed technical and legal analysis of three health related websites that demonstrate impactful legal violations. This paper shows that while, from a legal point of view, health related websites are more privacy-sensitive than other kinds of websites, they are exposed to the same technical difficulties to implement a legally compliant website. We believe ERNIE, the browser extension we developed, to be an invaluable tool for policy-makers and regulators to improve detection and visualization of the complex tracking techniques used on these websites.","PeriodicalId":205601,"journal":{"name":"Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"In-Depth Technical and Legal Analysis of Tracking on Health Related Websites with ERNIE Extension\",\"authors\":\"Vera Wesselkamp, Imane Fouad, C. Santos, Yanis Boussad, Nataliia Bielova, A. Legout\",\"doi\":\"10.1145/3463676.3485603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Searching the Web to find doctors and make appointments online is a common practice nowadays. However, simply visiting a doctors website might disclose health related information. As the GDPR only allows processing of health data with explicit user consent, health related websites must ask consent before any data processing, in particular when they embed third party trackers.Admittedly, it is very hard for owners of such websites to both detect the complex tracking practices that exist today and to ensure legal compliance. In this paper, we present ERNIE, a browser extension we designed to visualise six state-of-the-art tracking techniques based on cookies. Using ERNIE, we analysed 385 health related websites that users would visit when searching for doctors in Germany, Austria, France, Belgium, and Ireland. More specifically, we explored the tracking behavior before any interaction with the consent pop-up and after rejection of cookies on websites of doctors, hospitals, and health related online phone-books. We found that at least one form of tracking occurs on 62% of the websites before interacting with the consent pop-up, and 15% of websites include tracking after rejection. Finally, we performed a detailed technical and legal analysis of three health related websites that demonstrate impactful legal violations. This paper shows that while, from a legal point of view, health related websites are more privacy-sensitive than other kinds of websites, they are exposed to the same technical difficulties to implement a legally compliant website. We believe ERNIE, the browser extension we developed, to be an invaluable tool for policy-makers and regulators to improve detection and visualization of the complex tracking techniques used on these websites.\",\"PeriodicalId\":205601,\"journal\":{\"name\":\"Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3463676.3485603\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3463676.3485603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

在网上搜索医生并在线预约是一种常见的做法。然而,仅仅访问医生网站就可能泄露健康相关信息。由于GDPR只允许在用户明确同意的情况下处理健康数据,健康相关网站在处理任何数据之前必须征得用户同意,特别是当它们嵌入第三方跟踪器时。诚然,对于这些网站的所有者来说,既要检测到当今存在的复杂跟踪实践,又要确保法律合规,这是非常困难的。在本文中,我们提出了ERNIE,我们设计的浏览器扩展,以可视化基于cookie的六种最先进的跟踪技术。使用ERNIE,我们分析了用户在德国、奥地利、法国、比利时和爱尔兰搜索医生时会访问的385个健康相关网站。更具体地说,我们探索了在医生、医院和健康相关的在线电话本的网站上,在与同意弹出框互动之前和拒绝cookies之后的跟踪行为。我们发现,62%的网站在与同意弹出框交互之前至少有一种形式的跟踪,15%的网站在拒绝后进行跟踪。最后,我们对三个健康相关网站进行了详细的技术和法律分析,这些网站显示了严重的违法行为。本文表明,虽然从法律的角度来看,健康相关网站比其他类型的网站更加隐私敏感,但要实现合法合规的网站,它们面临着同样的技术困难。我们相信,我们开发的浏览器扩展ERNIE是政策制定者和监管机构的宝贵工具,可以改善这些网站上使用的复杂跟踪技术的检测和可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-Depth Technical and Legal Analysis of Tracking on Health Related Websites with ERNIE Extension
Searching the Web to find doctors and make appointments online is a common practice nowadays. However, simply visiting a doctors website might disclose health related information. As the GDPR only allows processing of health data with explicit user consent, health related websites must ask consent before any data processing, in particular when they embed third party trackers.Admittedly, it is very hard for owners of such websites to both detect the complex tracking practices that exist today and to ensure legal compliance. In this paper, we present ERNIE, a browser extension we designed to visualise six state-of-the-art tracking techniques based on cookies. Using ERNIE, we analysed 385 health related websites that users would visit when searching for doctors in Germany, Austria, France, Belgium, and Ireland. More specifically, we explored the tracking behavior before any interaction with the consent pop-up and after rejection of cookies on websites of doctors, hospitals, and health related online phone-books. We found that at least one form of tracking occurs on 62% of the websites before interacting with the consent pop-up, and 15% of websites include tracking after rejection. Finally, we performed a detailed technical and legal analysis of three health related websites that demonstrate impactful legal violations. This paper shows that while, from a legal point of view, health related websites are more privacy-sensitive than other kinds of websites, they are exposed to the same technical difficulties to implement a legally compliant website. We believe ERNIE, the browser extension we developed, to be an invaluable tool for policy-makers and regulators to improve detection and visualization of the complex tracking techniques used on these websites.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信