SAFE: Spatially-Aware Feedback Enhancement for Fault-Tolerant Trust Management in VANETs
\.Ipek Abas{\i}kele\c{s} Turgut

TL;DR
SAFE enhances trust management in VANETs by maintaining spatially-aware feedback, significantly reducing false penalties and improving network reliability through continuous message recording within witness areas.
Contribution
The paper introduces SAFE, a novel spatially-aware feedback method that improves trust evaluation accuracy in VANETs by addressing event status changes and spatial considerations.
Findings
Feedback report count increased 2.5 times in single-event scenarios.
Negative feedback rate decreased from 77% to below 1%.
SAFE reduced incorrect blacklisting from 34 to 1 node.
Abstract
Trust management in VANETs is critically important for secure communication between vehicles. In event-based trust systems, vehicles broadcast the events they witness to their surroundings and send feedback reports about other vehicles to a central authority. However, when the event status changes, vehicles that have left the witness area cannot see this change and produce erroneous feedback. This leads to unfair penalization of honest nodes. To solve this problem, the SAFE (Spatially-Aware Feedback Enhancement) approach is proposed. In SAFE, vehicles continue to record messages as long as they remain in the witness area and send updated feedback reports before leaving the area. Additionally, by keeping records between witness and decision distances, more accurate evaluation is ensured. SAFE and TCEMD were compared in single-event, multi-event, and different decision distance scenarios.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
