Collective Obfuscation and Crowdsourcing

• URL: http://arxiv.org/abs/2208.06405v1
• Date: Fri, 12 Aug 2022 17:57:33 GMT
• Title: Collective Obfuscation and Crowdsourcing
• Authors: Benjamin Laufer, Niko A. Grupen
• Abstract summary: We show that widespread use of reporting platforms comes with unique security and privacy implications. We identify coordinated obfuscation strategies that are intended to hinder the platform's legitimacy.
• Score: 2.28438857884398
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Crowdsourcing technologies rely on groups of people to input information that may be critical for decision-making. This work examines obfuscation in the context of reporting technologies. We show that widespread use of reporting platforms comes with unique security and privacy implications, and introduce a threat model and corresponding taxonomy to outline some of the many attack vectors in this space. We then perform an empirical analysis of a dataset of call logs from a controversial, real-world reporting hotline and identify coordinated obfuscation strategies that are intended to hinder the platform's legitimacy. We propose a variety of statistical measures to quantify the strength of this obfuscation strategy with respect to the structural and semantic characteristics of the reporting attacks in our dataset.

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