Performance optimization research of payment channel network based on accountable assertions

Performance optimization research of payment channel network based on accountable assertions

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Restricted by block size and the block generation rate, cryptocurrencies like Bitcoin were unable to significantly improve their scalability through on-chain approaches.Payment channel networks (PCN) were recognized as one of the most important methods to achieve scalability through off-chain modes.However, traditional PCN utilizing a lockable structure were found to have two major drawbacks.First, in the presence mackie mixer 16 channel of malicious parties, this structure could only terminate the transaction process but could not identify or punish the malicious actors.Second, when a specific transaction needed to be reviewed, all transactions within the PCN had to be recovered, resulting in significant computational overhead.

To address these issues, a scheme called accountable assertions performance optimization-payment channel network (AAPO-PCN) was proposed.In this scheme, an accountable assertion algorithm was introduced to construct an editable Merkle tree.Unlike the standard Merkle tree, the chameleon hash function was used to replace the omnia 943 lever original hash function, and accountable assertions were integrated to identify malicious users.This approach ensured that only the related transactions needed to be recovered, thereby improving efficiency.Finally, a comprehensive security analysis and experimental evaluation were conducted, demonstrating that AAPO-PCN achieved superior computational efficiency and reduced communication overhead without compromising security.