Abstract:
Geo-indistinguishability allows users to submit obfuscated locations to Location-Based Service providers and still use services. Inference attacks can compromise these mechanisms. Long-term observation attacks can reveal a user’s real locations if an attacker knows their obfuscated locations.
Long-term observation attacks in differential location privacy remain undefended. This paper first shows how long-term observation attacks can break existing mechanisms. Eclipse, a new mechanism, bridges location protection and service usability in light of these vulnerabilities.
We use geo-indistinguishability and k-anonymity to hide locations using anonymity sets. Our mechanism disrupts location distribution and prevents leakage under long-term observation attacks. The set of possible outputs minimizes usability and correctness impacts. Differential privacy is used to formalize and prove the mechanism’s security. We also implement the mechanism and test it on real-world datasets.
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