EcoBoost:机密交易的有效引导

Chenggang Wang, Boyang Wang, Xinxin Fan
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引用次数: 2

摘要

加密货币的主要挑战之一是缺乏保密性,没有保密性,区块链上的每笔交易的金额都不是私有的。虽然机密事务可以隐藏交易金额,但其存储开销非常高(例如10~20倍)。这种巨大的开销大大增加了用户在引导方面的开销,并阻碍了新节点的创建,特别是对于资源有限的设备。我们设计了一种新方法,称为EcoBoost,以提高支持机密交易的区块链的引导效率。具体来说,我们利用随机抽样来验证高概率保密交易的正确性。因此,与事务数量相比,验证开销是次线性的(与当前解决方案中的线性相比)。我们的实验结果表明,如果比特币实现保密交易,EcoBoost可以在引导中节省超过86%的存储和验证时间,但仍然以99%的概率检测到虚假交易。
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EcoBoost: Efficient Bootstrapping for Confidential Transactions
One of the major challenges of cryptocurrendes is the lack of confidentiality, Without confidentiality, the amount of each transaction on a blockchain is not private. While confidential transactions can hide transaction amounts, its storage overhead is extremely high (e.g., 10~20X). This substantial overhead significantly raises users’ overheads in bootstrapping and impedes new nodes, especially for resource-limited devices.We devise a new method, referred to as EcoBoost, to advance the effidency of bootstrapping for blockchains supporting confidential transactions. Specifically, we harness random sampling to verify the correctness of confidential transactions with high probability. As a result, the verification overhead is sublinear with regard to the number of transactions (compared to linear in current solutions). Our experiment results show that, if Bitcoin implements confidential transactions, EcoBoost can save over 86% storage and verification time in bootstrapping but still detect bogus transactions with a probability of 99%.
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