Ethereum’s scalability has been a major concern due to its limited
transaction throughput and high fees. To address these limitations, Polygon has
emerged as a sidechain solution that facilitates asset transfers between
Ethereum and Polygon, thereby improving scalability and reducing costs.
Tuttavia, current cross-chain transactions, particularly those between Ethereum
and Polygon, lack transparency and traceability. This paper proposes a method
to track cross-chain transactions across EVM-compatible blockchains. It
leverages the unique feature that user addresses are consistent across
EVM-compatible blockchains. We develop a matching heuristic algorithm that
links transactions between the source and target chains by combining
transaction time, value, and token identification. Applying our methodology to
over 2 million cross-chain transactions (August 2020-August 2023) between
Ethereum and Polygon, we achieve matching rates of up to 99.65% for deposits
E 92.78% for withdrawals, across different asset types including Ether,
ERC-20 tokens, and NFTs. Inoltre, we provide a comprehensive analysis of
various properties and characteristics of cross-chain transactions. Our
methodology and findings contribute to a better understanding of cross-chain
transaction dynamics and bridge performance, with implications for improving
bridge efficiency and security in cross-chain operations.
Questo articolo esplora i giri e le loro implicazioni.
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2504.15449v1