Practical Privacy-Preserving Indoor Localization Based on Secure Two-Party Computation
Author:
Funder
Academy of Finland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
http://xplorestaging.ieee.org/ielx7/7755/9506967/09079655.pdf?arnumber=9079655
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Infinite families of minimal binary codes via Krawtchouk polynomials;Designs, Codes and Cryptography;2024-01-22
2. Protecting Position Privacy in Range-Based Crowdsourcing Cooperative Localization;IEEE Transactions on Network Science and Engineering;2024-01
3. Construction of Two Classes of Minimal Binary Linear Codes from Definition Sets;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-12-01
4. Privacy-Preserving Wireless Indoor Localization Systems;Kocaeli Journal of Science and Engineering;2023-11-30
5. Enhanced Federated Learning for Edge Data Security in Intelligent Transportation Systems;IEEE Transactions on Intelligent Transportation Systems;2023-11
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