Ads-portal domains

Author:

Almishari Mishari1,Yang Xiaowei2

Affiliation:

1. University of California, Irvine, CA

2. Duke University, Durham, NC

Abstract

An ads-portal domain refers to a Web domain that shows only advertisements, served by a third-party advertisement syndication service, in the form of ads listing. We develop a machine-learning-based classifier to identify ads-portal domains, which has 96% accuracy. We use this classifier to measure the prevalence of ads-portal domains on the Internet. Surprisingly, 28.3/25% of the (two-level) *. com /*. net web domains are ads-portal domains. Also, 41/39.8% of *. com /*. net ads-portal domains are typos of well-known domains, also known as typo-squatting domains. In addition, we use the classifier along with DNS trace files to estimate how often Internet users visit ads-portal domains. It turns out that ∼5% of the two-level *. com , *. net , *. org , *. biz and *. info web domains on the traces are ads-portal domains and ∼50% of these accessed ads-portal domains are typos. These numbers show that ads-portal domains and typo-squatting ads-portal domains are prevalent on the Internet and successful in attracting many visits. Our classifier represents a step towards better categorizing the web documents. It can also be helpful to search engines ranking algorithms, helpful in identifying web spams that redirects to ads-portal domains, and used to discourage access to typo-squatting ads-portal domains.

Funder

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Mobile Internet as Antecedent for Down-Scoping Corporate Service Portfolios;Lecture Notes in Business Information Processing;2016

2. Identification of Web Spam through Clustering of Website Structures;Proceedings of the 24th International Conference on World Wide Web;2015-05-18

3. Parking Sensors: Analyzing and Detecting Parked Domains;Proceedings 2015 Network and Distributed System Security Symposium;2015

4. SUT: Quantifying and mitigating URL typosquatting;Computer Networks;2011-09

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