Understanding the Privacy Risks of Popular Search Engine Advertising Systems
Salim Chouaki, Oana Goga, Hamed Haddadi, Peter Snyder

TL;DR
This study measures the privacy risks of advertising systems in privacy-focused search engines, revealing that they often fail to protect user privacy and enable cross-site tracking similar to traditional search engines.
Contribution
First extensive measurement comparing privacy properties of privacy-focused and mainstream search engine advertising systems using automated analysis methods.
Findings
Privacy-focused search engines leak user requests via redirectors in most cases.
Advertising IDs enable cross-site user activity tracking across all tested search engines.
Both privacy-focused and traditional engines exhibit privacy-harming behaviors despite privacy claims.
Abstract
We present the first extensive measurement of the privacy properties of the advertising systems used by privacy-focused search engines. We propose an automated methodology to study the impact of clicking on search ads on three popular private search engines which have advertising-based business models: StartPage, Qwant, and DuckDuckGo, and we compare them to two dominant data-harvesting ones: Google and Bing. We investigate the possibility of third parties tracking users when clicking on ads by analyzing first-party storage, redirection domain paths, and requests sent before, when, and after the clicks. Our results show that privacy-focused search engines fail to protect users' privacy when clicking ads. Users' requests are sent through redirectors on 4% of ad clicks on Bing, 86% of ad clicks on Qwant, and 100% of ad clicks on Google, DuckDuckGo, and StartPage. Even worse, advertising…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy, Security, and Data Protection · Sexuality, Behavior, and Technology · Internet Traffic Analysis and Secure E-voting
