Breaking Bad: Quantifying the Addiction of Web Elements to JavaScript

IF 3.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet Technology Pub Date : 2023-01-12 DOI:10.1145/3579846
Romain Fouquet, Pierre Laperdrix, Romain Rouvoy
{"title":"Breaking Bad: Quantifying the Addiction of Web Elements to JavaScript","authors":"Romain Fouquet, Pierre Laperdrix, Romain Rouvoy","doi":"10.1145/3579846","DOIUrl":null,"url":null,"abstract":"While JavaScript established itself as a cornerstone of the modern web, it also constitutes a major tracking and security vector, thus raising critical privacy and security concerns. In this context, some browser extensions propose to systematically block scripts reported by crowdsourced trackers lists. However, this solution heavily depends on the quality of these built-in lists, which may be deprecated or incomplete, thus exposing the visitor to unknown trackers. In this article, we explore a different strategy by investigating the benefits of disabling JavaScript in the browser. More specifically, by adopting such a strict policy, we aim to quantify the JavaScript addiction of web elements composing a web page through the observation of web breakages. As there is no standard mechanism for detecting such breakages, we introduce a framework to inspect several page features when blocking JavaScript, that we deploy to analyze 6,384 pages, including landing and internal web pages. We discover that 43% of web pages are not strictly dependent on JavaScript and that more than 67% of pages are likely to be usable as long as the visitor only requires the content from the main section of the page, for which the user most likely reached the page, while reducing the number of tracking requests by 85% on average. Finally, we discuss the viability of currently browsing the web without JavaScript and detail multiple incentives for websites to be kept usable without JavaScript.","PeriodicalId":50911,"journal":{"name":"ACM Transactions on Internet Technology","volume":"77 1","pages":"1 - 28"},"PeriodicalIF":3.9000,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Internet Technology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3579846","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

While JavaScript established itself as a cornerstone of the modern web, it also constitutes a major tracking and security vector, thus raising critical privacy and security concerns. In this context, some browser extensions propose to systematically block scripts reported by crowdsourced trackers lists. However, this solution heavily depends on the quality of these built-in lists, which may be deprecated or incomplete, thus exposing the visitor to unknown trackers. In this article, we explore a different strategy by investigating the benefits of disabling JavaScript in the browser. More specifically, by adopting such a strict policy, we aim to quantify the JavaScript addiction of web elements composing a web page through the observation of web breakages. As there is no standard mechanism for detecting such breakages, we introduce a framework to inspect several page features when blocking JavaScript, that we deploy to analyze 6,384 pages, including landing and internal web pages. We discover that 43% of web pages are not strictly dependent on JavaScript and that more than 67% of pages are likely to be usable as long as the visitor only requires the content from the main section of the page, for which the user most likely reached the page, while reducing the number of tracking requests by 85% on average. Finally, we discuss the viability of currently browsing the web without JavaScript and detail multiple incentives for websites to be kept usable without JavaScript.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
《绝命毒师:量化Web元素对JavaScript的依赖
虽然JavaScript将自己确立为现代网络的基石,但它也构成了主要的跟踪和安全向量,因此引发了关键的隐私和安全问题。在这种情况下,一些浏览器扩展建议系统地阻止由众包跟踪列表报告的脚本。然而,这个解决方案在很大程度上依赖于这些内置列表的质量,这些列表可能被弃用或不完整,从而将访问者暴露给未知的跟踪器。在本文中,我们通过研究在浏览器中禁用JavaScript的好处来探索另一种策略。更具体地说,通过采用如此严格的策略,我们的目标是通过观察网页破坏来量化组成网页的web元素的JavaScript成瘾程度。由于没有检测此类破坏的标准机制,我们引入了一个框架,在阻止JavaScript时检查几个页面特性,我们部署该框架来分析6384个页面,包括登陆页面和内部网页。我们发现,43%的网页并不严格依赖于JavaScript,超过67%的网页可能是可用的,只要访问者只需要页面的主要部分的内容,用户最有可能到达的页面,同时减少了85%的跟踪请求的数量平均。最后,我们讨论了目前在没有JavaScript的情况下浏览网页的可行性,并详细介绍了在没有JavaScript的情况下保持网站可用性的多种激励措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACM Transactions on Internet Technology
ACM Transactions on Internet Technology 工程技术-计算机:软件工程
CiteScore
10.30
自引率
1.90%
发文量
137
审稿时长
>12 weeks
期刊介绍: ACM Transactions on Internet Technology (TOIT) brings together many computing disciplines including computer software engineering, computer programming languages, middleware, database management, security, knowledge discovery and data mining, networking and distributed systems, communications, performance and scalability etc. TOIT will cover the results and roles of the individual disciplines and the relationshipsamong them.
期刊最新文献
Interpersonal Communication Interconnection in Media Convergence Metaverse Using Reinforcement Learning and Error Models for Drone Precision Landing Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres RESP: A Recursive Clustering Approach for Edge Server Placement in Mobile Edge Computing OTI-IoT: A Blockchain-based Operational Threat Intelligence Framework for Multi-vector DDoS Attacks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1