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PRIVACY-PRESERVING MULTI-CLIENT AND CLOUD COMPUTATION WITH APPLICATION TO SECURE NAVIGATION
PRIVACY-PRESERVING MULTI-CLIENT AND CLOUD COMPUTATION WITH APPLICATION TO SECURE NAVIGATION
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机译：保留隐私的多客户和云计算及其在安全导航中的应用
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摘要
Described is a system for cloud-based privacy-preserving navigation operations between multiple parties. The system performs a two-party computation (2PC) between input data related to a current location of a first party and public data stored on a cloud computing infrastructure. Each party individually performs a 2PC on the public data while maintaining privacy of their input data. The system then performs multi-party computations (MPC) between multiple parties and the cloud computing infrastructure. The multiple parties privately update the public data with a result obtained from the 2PC. For the first party, a privacy-preserved navigation result is generated using results obtained from the 2PC and the MPC. The first party is caused to perform a navigation operation based on the privacy-preserved navigation result.
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