Click Fraud

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Category: Business and Industry

Date Submitted: 07/26/2014 03:35 PM

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Combating Click Fraud via Premium Clicks

Ari Juels RSA Laboratories1 ajuels@rsa.com Sid Stamm Indiana University, Bloomington sstamm@indiana.edu

Markus Jakobsson Indiana University, Bloomington and RavenWhite Inc. markus@indiana.edu Abstract

We propose new techniques to combat the problem of click fraud in pay-per-click (PPC) systems. Rather than adopting the common approach of filtering out seemingly fraudulent clicks, we consider instead an affirmative approach that only accepts legitimate clicks, namely those validated through client authentication. Our system supports a new advertising model in which “premium” validated clicks assume higher value than ordinary clicks of more uncertain authenticity. Click validation in our system relies upon sites sharing evidence of the legitimacy of users (distinguishing them from bots, scripts, or fraudsters). As cross-site user tracking raises privacy concerns among many users, we propose ways to make the process of authentication anonymous. Our premium-click scheme is transparent to users. It requires no client-side changes and imposes minimal overhead on participating Web sites. Key words: authentication, click-fraud A syndicator or publisher’s server observes a “click” simply as a browser request for a URL associated with a particular ad. The server has no way to determine if a human initiated the action—and, if a human was involved, whether she acted knowingly and with honest intent. Syndicators typically seek to filter fraudulent or spurious clicks based on information such as the type of advertisement that was requested, the cost of the associated keyword, the IP address of the request and the recent number of requests from this address. In this paper, we propose an alternative approach. Rather than seeking to detect and eliminate fraudulent clicks, i.e., filtering out seemingly bad clicks, we consider ways of authenticating valid clicks, i.e., admitting only verifiably good ones. We refer to such validated clicks as...