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Secure Two-Party Computation for Fingerprinting-based Indoor Localization ... multi-floor database for WLAN fingerprint-based indoor localization problems.
May 10, 2022 · In this work we present FAPRIL, a privacy-preserving indoor localization scheme, which takes advantage of the latest secure two-party computation protocol ...
In this work we present FAPRIL, a privacy-preserving indoor localization scheme, which takes advantage of the latest secure two-party computation protocol ...
Apr 10, 2024 · This survey presents a comprehensive review of Privacy-Preserving Mechanisms in Indoor Location Fingerprinting (ILFPPM) based on cryptographic, anonymization, ...
To save energy and network bandwidth for the mobile end devices in PPIL, we securely outsource the computations to two non-colluding semi-honest parties. Our ...
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FAPRIL, a privacy-preserving indoor localization scheme, which takes advantage of the latest secure two-party computation protocol improvements, ...
Using secure two-party computing with Paillier encryption and garbled circuits, this technique tries to preserve the privacy of both the client's location and ...
Indoor localization is defined as the process of locating a user or device in an indoor environment. It plays a crucial role for first responders in ...
The goal of this thesis is to build highly efficient secure two-party computation protocols for privacy-preserving indoor localization in the client-server ...
FAPRIL, a privacy-preserving indoor localization scheme, which takes advantage of the latest secure two-party computation protocol improvements, ...