An empirical study of click fraud in mobile advertising networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Scopus citations

Abstract

Smartphone advertisement is increasingly used among many applications and allows developers to obtain revenue through in-app advertising. Our study aims at identifying potential security risks of a type of mobile advertisement where advertisers are charged for their advertisements only when a user clicks (or touches) on the advertisements in their applications. In the Android platform, we design an automated click generation attack and empirically evaluate eight popular advertising networks by performing real attacks on them. Our experimental results show that six advertising networks (75%) out of eight (Millennial Media, App Lovin, Ad Fit, Mdot M, Rev Mob and Cauly Ads) are vulnerable to our attacks. We also discuss how to develop effective defense mechanisms to mitigate such automated click fraud attacks.

Original languageEnglish
Title of host publicationProceedings - 10th International Conference on Availability, Reliability and Security, ARES 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages382-388
Number of pages7
ISBN (Electronic)9781467365901
DOIs
StatePublished - 16 Oct 2015
Event10th International Conference on Availability, Reliability and Security, ARES 2015 - Toulouse, France
Duration: 24 Aug 201527 Aug 2015

Publication series

NameProceedings - 10th International Conference on Availability, Reliability and Security, ARES 2015

Conference

Conference10th International Conference on Availability, Reliability and Security, ARES 2015
Country/TerritoryFrance
CityToulouse
Period24/08/1527/08/15

Keywords

  • Advertising networks
  • Android
  • Click fraud

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