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Obscuring

Obscuring. draft- ietf - geopriv -policy. Model. Recovered Location. Target. Rule Maker. Location Recipient. Rules. Location Server (Obfuscation). Known Location. Reported Location. Assumptions. Given a reported location A , …and assuming X , …then the recovered location is B

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Obscuring

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  1. Obscuring draft-ietf-geopriv-policy

  2. Model Recovered Location Target Rule Maker LocationRecipient Rules Location Server (Obfuscation) Known Location Reported Location

  3. Assumptions • Given a reported location A, • …and assuming X, • …then the recovered location is B • If uncertainty(B) < uncertainty(A), • …then the assumption was productive. • Apply multiple assumptions for big gains.

  4. Example Assumptions • The target is on Earth • The target is on the ground • The target has constrained speed/acceleration • The target is walking • The target is on a boat • The target cannot fly • The target cannot breathe under water • The target likes ice cream • The target plays Theremin • The target wears red-and-white striped shirt, bobble hat, and glasses

  5. Assume Nothing • An obscuring algorithm might reveal something when the location recipient makes no assumptions • A good algorithm doesn’t reveal much unless the location recipient makes an assumption

  6. Algorithm Assessment • The effectiveness of an algorithm is assessed against a set of assumptions. • The information that is recovered when the assumption is correct determines how effective the algorithm is. • Recovery depends on the reliability of the assumption • …but the assessment must assume that the assumption is correct.

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