Sybil-TraceGuard: Traceability-enhanced Sybil Guardian for Connected and Autonomous Vehicles Using Dynamic Semi-supervised GNN

arXiv:2609.19791 · cs.CR · Submitted 2026-09-17 · Read on arXiv

cs.CR

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: 15 pages, 7 figures

Code: https://github.com/octoberzzzzz/Four

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Consistency — 23× in this paper · explained in 3 episodes
Clustering — 14× in this paper · explained in 2 episodes
Transformer — 11× in this paper · explained in 2 episodes
Generalization — 8× in this paper · explained in 13 episodes
Semi-supervised Learning — 7× in this paper · explained in 4 episodes
Ablation — 6× in this paper · explained in 1 episode
Calibration — 6× in this paper · explained in 7 episodes
Federated Learning — 6× in this paper · explained in 14 episodes
Regularization — 5× in this paper · explained in 3 episodes
Robustness — 5× in this paper · explained in 5 episodes
Trace — 5× in this paper · explained in 2 episodes
F1 Score — 4× in this paper · explained in 3 episodes
Benchmark — 3× in this paper · explained in 2 episodes
GNNs — 3× in this paper · explained in 2 episodes
Graph Construction — 3× in this paper · explained in 3 episodes
Incremental Stream Attack Detection — 3× in this paper
Multi-scale Spatio-Temporal Audit — 3× in this paper
Normal False-Accusation Rate — 3× in this paper
Spatial GAT-Encoder with Multi-head Attention — 3× in this paper
Aggregation — 2× in this paper · explained in 1 episode
Dynamic Topology-aware Constructor — 2× in this paper
Machine Learning — 2× in this paper
Pruning — 2× in this paper · explained in 4 episodes
Source-Attacker Recall — 2× in this paper
Verification — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Contrastive Learning — 1× in this paper · explained in 5 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Differentially Private — 1× in this paper · explained in 3 episodes
Digital Twin — 1× in this paper · explained in 4 episodes
Distillation — 1× in this paper · explained in 2 episodes
Edge AI — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Exponentially Moving Average — 1× in this paper
Feature Engineering — 1× in this paper · explained in 3 episodes
Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
Heterogeneous Graph — 1× in this paper · explained in 2 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Long Short-Term Memory — 1× in this paper
Loss Function — 1× in this paper · explained in 2 episodes
Pseudo-labeling — 1× in this paper · explained in 3 episodes
Pseudo-labels — 1× in this paper · explained in 2 episodes
Semi-Supervised Learning (SSL) — 1× in this paper · explained in 2 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

A Survey of Recent Advancements in Secure Peer-to-Peer Networks

Terminology

Sources

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