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Non-tracking Web Analytics Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke Presentation by David Ferreras.

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Presentation on theme: "Non-tracking Web Analytics Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke Presentation by David Ferreras."— Presentation transcript:

1 Non-tracking Web Analytics Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke Presentation by David Ferreras

2 The Scenario Publishers (Websites) want information from their users, which they can’t obtain by themselves. They have to obtain it through third party data aggregators (Google, Facebook…), who track users across the web.

3 The Scenario

4 The Problem To users: – Privacy concerns about being tracked. To publishers: – They have to trust data aggregators.

5 The Solution Proposed The client’s information is stored in a local database. Publishers execute queries to this database and it proxies client-aggregator communication

6 The Solution Proposed

7 The Solution Proposed (Details) Publishers post queries at well-known URLs on their websites. Queries formulated by publishers and the data aggregator. Client allow to answer the queries. Noise is added to the data for hiding individuals.

8 Data Verification To prevent the publisher from: Isolating clients (dropping answers) Falsifying results A nonce is used in what it’s called 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 possible solution to get valuable data from users without tracking them along the web. My opinion: If users have to allow the publishers from geting data from them, the majority won’t I don’t think data aggregators, who are the ruling companies in internet, want to loose their power. Any questions?


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