Apr 27, 2020 · Our scheme preserves the privacy of both the client's location and the service provider's database by using secure two-party computation ...
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 ...
FAPRIL, a privacy-preserving indoor localization scheme, which takes advantage of the latest secure two-party computation protocol improvements, ...
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 ...
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 ...
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 ...
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 ...
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Practical Privacy-Preserving Indoor Localization based on Secure Two-Party Computation. Year of publication. 2021. Authors. Nieminen, Raine; Järvinen, Kimmo ...
This work shows how Secure Two-Party Computation can be used to reconcile privacy interests in a state-of-the-art localization system, and provides strong ...
Author, Nieminen, Raine; Järvinen, Kimmo. Date, 2020. Type, Journal Article. ISSN, 1536-1233. In, IEEE Transactions on Mobile Computing. Publisher, IEEE.