Abstract
Thanks to its low product-promotion cost and its efficiency, targeted online advertising has become very popular. Unfortunately, being profile-based, online advertising methods violate consumers' privacy, which has engendered resistance to the ads. However, protecting privacy through anonymity seems to encourage click-fraud. In this paper, we define consumer's privacy and present a privacy-preserving, targeted ad system (PPOAd) which is resistant towards click fraud. Our scheme is structured to provide financial incentives to all entities involved. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Androulaki, E., & Bellovin, S. M. (2010). A secure and privacy-preserving targeted ad-system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6054 LNCS, pp. 123–135). https://doi.org/10.1007/978-3-642-14992-4_12
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