Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks

[2608.14592] Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Networking and Internet Architecture arXiv:2608.14592 (cs) [Submitted on 24 Jun 2026] Title: Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks Authors: Manish Bansal , J. Harshan View a PDF of the paper titled Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks, by Manish Bansal and J. Harshan View PDF HTML (experimental) Abstract: 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. Comments: To appear in IEEE Transactions on Network and Service Management Subjects: Networking and Internet Architecture (cs.NI) ; Cryptography and Security (cs.CR); Information Theory (cs.IT) Cite as: arXiv:2608.14592 [cs.NI] (or arXiv:2608.14592v1 [cs.NI] for this version) https://doi.org/10.48550/arXiv.2608.14592 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Jagadeesh Harshan [ view email ] [v1] Wed, 24 Jun 2026 18:35:19 UTC (7,503 KB) Full-text links: Access Paper: View a PDF of the paper titled Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks, by Manish Bansal and J. Harshan View PDF HTML (experimental) TeX Source view license Current browse context: cs.NI < prev | next > new | recent | 2026-08 Change to browse by: cs cs.CR cs.IT math math.IT References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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