3,065 research outputs found

    Fighting Online Click-Fraud Using Bluff Ads

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    Online advertising is currently the greatest source of revenue for many Internet giants. The increased number of specialized websites and modern profiling techniques, have all contributed to an explosion of the income of ad brokers from online advertising. The single biggest threat to this growth, is however, click-fraud. Trained botnets and even individuals are hired by click-fraud specialists in order to maximize the revenue of certain users from the ads they publish on their websites, or to launch an attack between competing businesses. In this note we wish to raise the awareness of the networking research community on potential research areas within this emerging field. As an example strategy, we present Bluff ads; a class of ads that join forces in order to increase the effort level for click-fraud spammers. Bluff ads are either targeted ads, with irrelevant display text, or highly relevant display text, with irrelevant targeting information. They act as a litmus test for the legitimacy of the individual clicking on the ads. Together with standard threshold-based methods, fake ads help to decrease click-fraud levels.Comment: Draf

    The Distant Heart: Mediating Long-Distance Relationships through Connected Computational Jewelry

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    In the world where increasingly mobility and long-distance relationships with family, friends and loved-ones became commonplace, there exists a gap in intimate interpersonal communication mediated by technology. Considering the advances in the field of mediation of relationships through technology, as well as prevalence of use of jewelry as love-tokens for expressing a wish to be remembered and to evoke the presence of the loved-one, developments in the new field of computational jewelry offer some truly exciting possibilities. In this paper we investigate the role that the jewelry-like form factor of prototypes can play in the context of studying effects of computational jewelry in mediating long-distance relationships
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