CRMar 29

Decentralized Proof-of-Location for Content Provenance: Towards Capture-Time Authenticity

arXiv:2603.2788310.6h-index: 11
AI Analysis

For cyber-physical systems requiring trustworthy sensor data, this work addresses the problem of verifying that data was captured at a specific time and place without centralized trust.

The paper proposes a decentralized Proof-of-Location architecture with witnessing zones to ensure capture-time authenticity of sensor data, improving trustworthiness and resilience against fabricated events in cyber-physical systems.

Reliable use of real-world data requires confidence that recorded evidence reflects what actually occurred at the moment of capture. In adversarial or incentive-misaligned cyber-physical settings, device-centric provenance and post-capture verification are insufficient to provide that guarantee. This paper builds on Proof-of-Location (PoL) as a baseline for establishing where and when events take place, and extends it with a witnessing-zone architecture in which multiple independent observers collectively validate physical events. The resulting approach produces auditable evidence artifacts that can support downstream systems in cyber-physical settings, without relying on centralized trust. Through representative scenarios and simulation-based evaluation, this paper shows how such architectures improve sensor data trustworthiness and resilience to fabricated or staged events.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes