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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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9.2.2 Privacy One potential concern with the PeerSpective architecture is the privacy of the users. PeerSpective indexes browsed Web pages, which sometimes contain sensitive informa- tion. In order to mitigate the privacy impact of PeerSpective on users, we configured PeerSpective to only serve HTTP, and specifically not HTTPS, traffic. As many privacy-sensitive services, such as online banking and email, use HTTPS, this pre- vents such sites from being indexed by PeerSpective. We also configured PeerSpective to respect the “Cache-Control” header returned by servers by only indexing pages that were labeled “Cache-Control: public”. When using PeerSpective, users only see aggregated results, and are not aware of which user returned which result. Thus, users in PeerSpective have k-anonymity, where k is the size of the group running PeerSpective. Finally, we configured a simple control panel for PeerSpective that allowed users to browse their local index, and to remove any pages that they did not wish to be included. 9.2.3 Experimental methodology We recruited a group of 10 graduate students and researchers the Max Planck Institute for Software Systems to run PeerSpective. We present measurements and experiences from a one month long experimental deployment. During this time, the 10 users issued 439,384 HTTP requests covering 198,492 distinct URLs. Only 25.9% of the HTTP requests were of content type text/html or application/pdf, meaning they could 206

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