arXiv (All)
open access
From Trust Scores to Driver Decisions: An Abstaining Evidential Decision Layer for Event Validation in VANETs
Trust management in vehicular ad hoc networks is highly active, yet the decision that a driver needs, whether a reported event is real, has received far less attention; the schemes that make it force every decision into two outcomes, even on thin or conflicting evidence. This paper presents CREST, a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From Trust Scores to Driver Decisions: An Abstaining Evidential Decision Layer for Event Validation in VANETs#1381175
- Evidential Decision Theory and the Ostrich#96110
- Latency aware trust weighted federated intrusion detection for secure 6G vehicular IoT#406901
- Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation#1051074
- FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks#319650
Record · ID 1389756
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive