Practical Privacy-Preserving Indoor Localization Based on Secure Two-Party Computation
| Autor: | Kimmo Järvinen, Raine Nieminen |
|---|---|
| Přispěvatelé: | Department of Computer Science |
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
secure multi-party computation Paillier encryption Computer Networks and Communications Computer science Distributed computing location privacy garbled circuits Encryption Servers 02 engineering and technology 01 natural sciences Paillier cryptosystem Databases Smart phones Server 0202 electrical engineering electronic engineering information engineering Wireless fidelity Electrical and Electronic Engineering Android (operating system) Indoor localization computer.programming_language Cryptographic primitive business.industry 010401 analytical chemistry 113 Computer and information sciences 0104 chemical sciences Zinc WiFi fingerprinting android smartphones Secure two-party computation Secure multi-party computation 020201 artificial intelligence & image processing business computer Software |
| Zdroj: | IEEE Transactions on Mobile Computing. 20:2877-2890 |
| ISSN: | 2161-9875 1536-1233 |
| DOI: | 10.1109/tmc.2020.2990871 |
| Popis: | We present a privacy-preserving indoor localization scheme based on received signal strength measurements, e.g., from WiFi access points. Our scheme preserves the privacy of both the client's location and the service provider's database by using secure two-party computation instantiated with known cryptographic primitives, namely, Paillier encryption and garbled circuits. We describe a number of optimizations that reduce the computation and communication overheads of the scheme and provide theoretical evaluations of these overheads. We also demonstrate the feasibility of the scheme by developing a proof-of-concept implementation for Android smartphones and commodity servers. This implementation allows us to validate the practical performance of our scheme and to show that it is feasible for practical use in certain types of indoor localization applications. |
| Databáze: | OpenAIRE |
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