Abstract Title
Privacy Preserving Location Based Service
Abstract
Location-based services (LBSs) play a significant role in our lives, offering personalized experiences based on our location data. However, sharing this data raises valid privacy concerns. These concerns have been escalating in parallel with the widespread usage of the Internet and the World Wide Web. This research aims to design an effective privacy-preserving approach for LBS by utilizing Geohash-based data aggregation and secure multiparty computation (SMPC) protocols. Geohash allows higher-level data aggregation while preserving individual privacy by representing locations with unique character combinations. SMPC ensures secure communication, computation, and result sharing among parties, protecting sensitive information during joint computations. Yao's garbled circuit stands out as a cryptographic technique that ensures SMPC. A custom-designed Garbled Circuit shall be used for substring matching for location data processing, adding an extra layer of privacy. The research addresses questions about cryptographic protocols and their real-world implications, aiming to advance privacy-preserving location-based services while offering seamless, personalized experiences to users.
Privacy Preserving Location Based Service
Location-based services (LBSs) play a significant role in our lives, offering personalized experiences based on our location data. However, sharing this data raises valid privacy concerns. These concerns have been escalating in parallel with the widespread usage of the Internet and the World Wide Web. This research aims to design an effective privacy-preserving approach for LBS by utilizing Geohash-based data aggregation and secure multiparty computation (SMPC) protocols. Geohash allows higher-level data aggregation while preserving individual privacy by representing locations with unique character combinations. SMPC ensures secure communication, computation, and result sharing among parties, protecting sensitive information during joint computations. Yao's garbled circuit stands out as a cryptographic technique that ensures SMPC. A custom-designed Garbled Circuit shall be used for substring matching for location data processing, adding an extra layer of privacy. The research addresses questions about cryptographic protocols and their real-world implications, aiming to advance privacy-preserving location-based services while offering seamless, personalized experiences to users.