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SAFE: Spatially-Aware Feedback Enhancement for Fault-Tolerant Trust Management in VANETs

arXiv Security Archived Apr 10, 2026 ✓ Full text saved

arXiv:2604.07552v1 Announce Type: cross 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

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    Computer Science > Networking and Internet Architecture [Submitted on 8 Apr 2026] SAFE: Spatially-Aware Feedback Enhancement for Fault-Tolerant Trust Management in VANETs İpek Abasıkeleş Turgut 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. The results clearly demonstrate SAFE's superiority. In single-event, feedback report count increased 2.5 times, and in multi-event, it increased over 6 times. Negative feedback rate dropped from 77 percent to below 1 percent. While TCEMD incorrectly blacklisted 34 nodes, this number remained at 1 in SAFE. Even when the decision distance was reduced to 200 m, SAFE showed high accuracy. The findings show that SAFE protects honest nodes in attack-free systems and increases network reliability. Subjects: Networking and Internet Architecture (cs.NI); Cryptography and Security (cs.CR) Cite as: arXiv:2604.07552 [cs.NI]   (or arXiv:2604.07552v1 [cs.NI] for this version)   https://doi.org/10.48550/arXiv.2604.07552 Focus to learn more Submission history From: İpek AbasıkeleşTurgut [view email] [v1] Wed, 8 Apr 2026 19:53:32 UTC (1,269 KB) Access Paper: HTML (experimental) view license Current browse context: cs.NI < prev   |   next > new | recent | 2026-04 Change to browse by: cs cs.CR References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    Apr 10, 2026
    Archived
    Apr 10, 2026
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