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Super Ninja Privacy Techniques for Web App Developers

Marc Hedlund, Chief Product Officer, Wesabe
Brad Greenlee, Wesabe

Date: Wednesday, March 28
Time: 3:05pm - 3:50pm
Location: Douglas C

There's plenty of information on the Web about how an individual can protect their own privacy on the Net, but little about how to architect a web app to help protect your users' privacy. We'll look at some techniques to make a web app that cares about its users' privacy:
  • Privacy is Local: how to take advantage of client apps for giving users control of their data
  • The Hardest Threat: how to architect a web app to make it non-trivial for your employees to compromise a user's privacy
  • Partitioning: how to keep data in two or more locations in order to avoid single points of failure
  • Data Skew: dropping precision to avoid exact matches that would identify data sources
  • Log Scrubbing: setting up logging systems to avoid retaining the wrong kinds of user information, such as passwords
  • Voting Algorithms: how to expose user-contributed data privately by waiting for a "quorum" before publishing