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Yen Chen

dblp:95/1188 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Web and mobile security · 56% Privacy and data protection · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and mobile security › content blocking
ad blocking
0.612022
Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists · WWW 2022
Privacy and data protection
web tracking
0.612022
Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists · WWW 2022
Web and mobile security
web measurement
0.212022
Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists · WWW 2022

Methods — techniques the papers use, named apart from their topics

web crawling · 0.6domain behavior analysis · 0.6
YearPublicationVenuePosition
2022 Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists
abstract
Ad blockers heavily rely on filter lists to block ad domains, which can serve advertisements and trackers. However, recent research has reported that some advertisers keep registering replica ad domains (RAD domains)—new domains that serve the same purpose as the original ones—which tend to slip through ad-blocker filter lists. Although this phenomenon might negatively affect ad blockers’ effectiveness, no study to date has thoroughly investigated its prevalence and the issues caused by RAD domains. In this work, we proposed methods to discover RAD domains and categorized their change patterns. From a crawl of 50,000 websites, we identified 1,748 unique RAD domains, 1,096 of which survived for an average of 410.5 days before they were blocked; the rest have not been blocked as of February 2021. Notably, we found that non-blocked RAD domains could extend the timespan of ad or tracker distribution by more than two years. Our analysis further revealed a taxonomy of four techniques used to create RAD domains, including two less-studied ones. Additionally, we discovered that the RAD domains affected 10.2% of the websites we crawled, and 23.7% of the RAD domains exhibiting privacy-intrusive behaviors, undermining ad blockers’ privacy protection.
Su-Chin Lin, Kai-Hsiang Chou, Yen Chen, Hsu-Chun Hsiao, Darion Cassel, Lujo Bauer, Limin Jia 0001
WWW3