BridgeShield: Risk-Aware Graph Modeling for Cross-Chain Bridge Attack Detection

arXiv:2508.20517 · cs.CR, cs.AI · Submitted 2025-08-28 · Read on arXiv

cs.CR, cs.AI

Submitted: 2025-08-28

Updated: 2026-09-20

Code: https://github.com/Connector-Tool/BridgeShield

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

Terminology

• Heterogeneous Graph — 55× in this paper · explained in 2 episodes
• Attention Mechanism — 13× in this paper · explained in 3 episodes
• Aggregation — 8× in this paper · explained in 1 episode
• Representation Learning — 8× in this paper · explained in 2 episodes
• Trace — 8× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• GNNs — 3× in this paper · explained in 2 episodes
• Vector Representations — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Heterogeneous Graph Transformer — 2× in this paper
• Sparsity — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Relational Graph Convolutional Network — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• XChainWatcher: Monitoring and Identifying Attacks in Cross-Chain Bridges
• CodeBERT: A Pre-Trained Model for Programming and Natural Languages
• graph2vec: Learning Distributed Representations of Graphs
• SoK: Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems

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