Preserving Location Privacy for Mobile Phones with Homomorphic Encryption: The False Position Protocol
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Date
2024-01-03
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3759
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Abstract
Sharing sensitive information, such as location data, or health data, is a complex problem. While users may desire the benefits of application that use sensitive information, adoption may be limited by user reluctance to share sensitive data with untrusted third parties. We propose the False Position Protocol, a decentralized algorithm that allows users to reveal information such as location to trusted partners through a homomorphic encryption identification process. The algorithm offers reduced computational complexity while maintaining resilience despite potential malicious actors. Potential applications of the proposed two-party sharing protocol include connecting in social networks, exchanging health information, geotagging content, as well as proximity testing for media content delivery.
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Security and Privacy Challenges for Healthcare, decentralized, dummy location, homomorphic encryption, mhealth, privacy
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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