Work

A Long Way to the Top

Year: 2018

Type: conference-paper

Abstract: A broad range of research areas including Internet measurement, privacy, and network security rely on lists of target domains to be analysed; researchers make use of target lists for reasons of necessity or efficiency. The popular Alexa list of one million domains is a widely used example. Despite their prevalence in research papers, the soundness of top lists has seldom been questioned by the community: little is known about the lists' creation, representativity, potential biases, stability, or overlap between lists.

Source: Internet Measurement Conference

DOI: 10.1145/3278532.3278574

Authors: Quirin Scheitle, Oliver Hohlfeld, Julien Gamba, Jonas Jelten, Torsten Zimmermann, Stephen D. Strowes, Narseo Vallina-Rodriguez

Institutions: Technical University of Munich, RWTH Aachen University, IMDEA Networks, Universidad Carlos III de Madrid

Language: English

Topic: Web visibility and informetrics

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung

Awards: G137881137, G1723849911, G6427809037, NeTS: Medium: HayStack: Fine-grained Visibility and Control of Mobile Traffic for Enhanced Performance, Privacy and Security, Verbundprojekt: Erkennung von IT-Sicherheitsvorfällen an Internet-Knotenpunkten - X-CHECK -, Teilvorhaben: Verteilte Vorfallserkennung

OpenAlex ID: W2806944993

FWCI: 15.35

Cites: 107

Cited by: 121

Related to: 10