Using Crowdsourcing Marketplaces for Network Measurements

The Case of Spoofer

Conference Paper (2018)
Author(s)

QB Lone (TU Delft - Organisation & Governance)

Matthew Luckie (University of Waikato, Hamilton)

MacIej Korczyński (Université Grenoble Alpes)

Hadi Asghari (TU Delft - Organisation & Governance)

Mobin Javed (Lahore University of Management Sciences, Lahore, Punjab)

Michel Eeten (TU Delft - Organisation & Governance)

Research Group
Organisation & Governance
Copyright
© 2018 Q.B. Lone, Matthew Luckie, MacIej Korczyński, H. Asghari, Mobin Javed, M.J.G. van Eeten
DOI related publication
https://doi.org/10.23919/TMA.2018.8506499
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Q.B. Lone, Matthew Luckie, MacIej Korczyński, H. Asghari, Mobin Javed, M.J.G. van Eeten
Research Group
Organisation & Governance
ISBN (electronic)
978-390317609-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Internet measurement tools are used to make inferences about network policies and practices across the Internet, such as censorship, traffic manipulation, bandwidth, and security measures. Some tools must be run from vantage points within individual networks, so are dependent on volunteer recruitment. A small pool of volunteers limits the impact of these tools. Crowdsourcing marketplaces can potentially recruit workers to run tools from networks not covered by the volunteer pool. We design an infrastructure to collect and synchronize measurements from five crowdsourcing platforms, and use that infrastructure to collect data on network source address validation policies for CAIDA's Spoofer project. In six weeks we increased the coverage of Spoofer measurements by recruiting 1519 workers from within 91 countries and 784 unique ASes for 2,000 Euro; 342 of these ASes were not previously covered, and represent a 15% increase in ASes over the prior 12 months. We describe lessons learned in recruiting and renumerating workers; in particular, strategies to address worker behavior when workers are screened because of overlap in the volunteer pool.

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