BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:ae7c1cfb2110164e5544d6b1fedb13a3 CATEGORIES:Lectures & Presentations CREATED:20150216T131322 SUMMARY:Introduction to transparency, privacy and security analyses of Real-Time Bidding LOCATION:SBA Research DESCRIPTION:Lukasz Olejnik (http://www.inrialpes.fr/planete/people/lukasz/), INRIA Privatics, France gives a talk about “Introduction to t ransparency, privacy and security analyses of Real-Time Bidding”\nAbstract: Real-Time Bidding is a novel channel of serving content (such as ads) to W eb users. Programmatic ad buying is a growing trend, and billions of dollar s are devoted to digital ads displaying using this technology. We analyze t his technology from privacy, transparency and security point of views. We p resent a privacy and transparency enhancing tool showing to users when RTB ads are displayed on a visited Web site and how much is paid by advertiser s. Using this tool we obtain a significant dataset of RTB winning bids (17, 289 bids with an average value of $0.0012) from real, highly profiled users ; we detect about 70 bidders. We discuss a design characteristic of RTB sys tems allowing to observe the prices which advertisers pay for serving ads t o Web users. We leverage this feature (information leak of business logic) and provide insights into these prices. We show the variations of prices ac cording to context information (such as user’s location). On the user-submi tted data, we confirm that profiled users (with known Web browsing history) are evaluated higher than new comers and that some user profiles are more valuable than others. We conclude with a discussion of security aspects and consequences of RTB’s design.\n X-ALT-DESC;FMTTYPE=text/html:
Lukasz Olejnik, INRIA Privatics, Fra nce gives a talk about “Introduction to transparency, privacy and security analyses of Real-Time Bidding”
Abstract: Real-Time Bidding is a novel channel of serving content (such as ads) to Web users. Programmatic ad buying is a growing trend, and billions of dollars are devoted to digital ads displayin g using this technology. We analyze this technology from privacy, transpare ncy and security point of views. We present a privacy and transparency enh ancing tool showing to users when RTB ads are displayed on a visited Web si te and how much is paid by advertisers. Using this tool we obtain a signifi cant dataset of RTB winning bids (17,289 bids with an average value of $0.0 012) from real, highly profiled users; we detect about 70 bidders. We discu ss a design characteristic of RTB systems allowing to observe the prices wh ich advertisers pay for serving ads to Web users. We leverage this feature (information leak of business logic) and provide insights into these prices . We show the variations of prices according to context information (such a s user’s location). On the user-submitted data, we confirm that profiled us ers (with known Web browsing history) are evaluated higher than new comers and that some user profiles are more valuable than others. We conclude with a discussion of security aspects and consequences of RTB’s design.
CONTACT:Edgar Weippl X-EXTRAINFO:02/06 DTSTAMP:20240329T062823 DTSTART:20141210T100000 DTEND:20141210T110000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR