RPRS: Real-Time Privacy mm-Wave Radar Sensing System

Fully homomorphic encryption (FHE) enables computations on encrypted data, thereby reducing privacy risks when uploading sensitive radar-detected information to untrusted servers. However, the significant performance overhead severely limits the practical use of FHE. In this paper, we present RPRS, a Real-time Privacy-preserving Radar Sensing system. The RPRS system consists of a radar sensing client, FHE servers and network connections between them. We prototype the RPRS with a radar client for precise air-handwritten trajectory detection, and FHE servers for secure CNN inferences. System tests reveal that the client-server round-trip latency is 1.34 seconds for a real-time radar-based FHE CNN task.

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Publication Details

Published
2025-06-15
DOI
https://doi.org/10.1109/ims40360.2025.11104052
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

RPRS: Real-Time Privacy mm-Wave Radar Sensing System

Yicun Gao, Haoyang Wu, Xiaodong Cai, Cuilan Miao
Indoor and Outdoor Localization Technologies
article

RPRS: Real-Time Privacy mm-Wave Radar Sensing System

Yicun Gao, Haoyang Wu, Xiaodong Cai, Cuilan Miao
article en

Abstract

Fully homomorphic encryption (FHE) enables computations on encrypted data, thereby reducing privacy risks when uploading sensitive radar-detected information to untrusted servers. However, the significant performance overhead severely limits the practical use of FHE. In this paper, we present RPRS, a Real-time Privacy-preserving Radar Sensing system. The RPRS system consists of a radar sensing client, FHE servers and network connections between them. We prototype the RPRS with a radar client for precise air-handwritten trajectory detection, and FHE servers for secure CNN inferences. System tests reveal that the client-server round-trip latency is 1.34 seconds for a real-time radar-based FHE CNN task.

Intel (United States) (US), Intel (Taiwan) (TW)
Affordable and clean energy
Openalex Percentile: Top 81%
Indoor and Outdoor Localization Technologies
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