1 / 11

Non-tracking Web Analytics

Non-tracking Web Analytics. Istemi Ekin Akkus , Ruichuan Chen , Michaela Hardt , Paul Francis, Johannes Gehrke Presentation by David Ferreras. The Scenario. Publishers ( Websites ) want information from their users , which they can’t obtain by themselves .

africa
Download Presentation

Non-tracking Web Analytics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Non-tracking Web Analytics IstemiEkinAkkus, RuichuanChen, MichaelaHardt, Paul Francis, Johannes Gehrke Presentationby David Ferreras

  2. TheScenario • Publishers (Websites) wantinformationfromtheirusers, whichtheycan’tobtainbythemselves. • Theyhavetoobtainitthroughthirdparty data aggregators (Google, Facebook…), whotrackusersacrossthe web.

  3. TheScenario

  4. TheProblem • Tousers: • Privacyconcernsaboutbeingtracked. • Topublishers: • Theyhaveto trust data aggregators.

  5. TheSolutionProposed • Theclient’sinformationisstored in a local database. • Publishersexecutequeriestothisdatabase and itproxiesclient-aggregatorcommunication

  6. TheSolutionProposed

  7. TheSolutionProposed (Details) • Publishers post queries at well-knownURLsontheirwebsites. • Queriesformulatedbypublishers and the data aggregator. • Clientallowtoanswerthequeries. • Noiseisaddedtothe data forhidingindividuals.

  8. Data Verification Topreventthepublisherfrom: • Isolatingclients(droppinganswers) • Falsifyingresults A nonceisused in whatit’scalled and Audit

  9. Data Verification

  10. Implementation Client: Firefox addon Publisher: server-side script (PHP) Data aggregator: program in server (Java+PHP)

  11. Conclusions It’s a possiblesolutiontogetvaluable data fromuserswithout tracking themalongthe web. Myopinion: • Ifusershavetoallowthepublishersfromgeting data fromthem, themajoritywon’t • I don’tthink data aggregators, who are therulingcompanies in internet, wanttoloosetheirpower. Anyquestions?

More Related