面向隐私受限车载网络的低延迟空间溯源恢复方法
Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks
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中文总结 AI 辅助
针对隐私受限且需低延迟的车载网络，提出双段嵌入与三段嵌入两种协议，实现联合数据与空间溯源，在保证隐私的同时降低端到端延迟，提升溯源可靠性。
中文摘要 AI 辅助
在多跳车联网（V2X）中，路侧单元（RSU）需以低延迟方式收集车辆位置信息，同时遵守车辆隐私约束，以支撑实时基于位置的服务。为便于数据收集，溯源技术用于保障数据的可信度与可问责性。现有联合数据与空间溯源技术虽能在一定粒度上保护车辆隐私（相对于RSU和其他车辆），但无法满足数据包端到端延迟的严格时限要求。因此，亟需设计V2X网络的空间溯源方法，使其在满足端到端延迟严格时限的同时管理隐私问题。为填补该研究空白，本文提出两种新协议：双段嵌入（BSE）与三段嵌入（TSE），二者提供联合数据与空间溯源的跳过机制，可在车辆间权衡隐私特征。通过广泛的理论框架，本文从可靠性、隐私性和通信开销三方面分析所提方案。与基线方法相比，所提协议具有更低的端到端延迟、更高的溯源重建可靠性，且相对于RSU的隐私水平相同。本文采用实际无线电参数验证延迟增益，研究表明，在5G协议栈上实现所提协议时，可带来显著的延迟优势。
英文摘要
In multihop Vehicle-to-Everything (V2X) networks, Road Side Units (RSUs) intend to collect information on vehicles' location in a low-latency manner while respecting their privacy constraints to support real-time location-based services. To facilitate data collection, provenance is known to ensure trust and accountability of data. Although existing joint data- and spatial-provenance techniques preserve the privacy of vehicles up to a certain granularity with respect to the RSU and other vehicles, they are unsuitable when stringent deadlines are imposed on the end-to-end delay on the packets. As a consequence, there is a need for designing spatial-provenance methods for V2X networks that satisfy stringent deadlines on the end-to-end delays while managing the privacy concerns. To fill this research gap, we propose two novel protocols, namely: Bi-Segment Embedding (BSE) and Tri-Segment Embedding (TSE), which provide a skipping mechanism for joint data- and spatial-provenance while trading off privacy features among the vehicles. Through an extensive theoretical framework, we provide an analysis of the proposed schemes in terms of reliability, privacy, and communication overhead. When compared to the baselines, our protocols offer lower end-to-end delay, higher reliability in provenance reconstruction, and the same level of privacy with respect to the RSU. We validate latency gains using practical radio parameters, and our study reveals that our proposed protocols offer significant benefits in latency when implemented over a 5G stack.
