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Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks. (arXiv:2305.05952v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The detection of Maximal Extractable Value (MEV) in blockchain is crucial for
enhancing blockchain security, as it enables the evaluation of potential
consensus layer risks, the effectiveness of anti-centralization solutions, and
the assessment of user exploitation. However, existing MEV detection methods
face limitations due to their low recall rate, reliance on pre-registered
Application Binary Interfaces (ABIs) and the need for continuous monitoring of
new DeFi services.
In this paper, we propose ArbiNet, a novel GNN-based detection model that
offers a …
assessment blockchain centralization detection enigma evaluation exploitation free low mev networks neural networks risks security solutions value