RandomMix: An Effective Framework to Protect User Privacy Information on Ethereum

Abstract

With the wide application of blockchain technology, the user privacy information involved in Ethereum is increasingly rich. But with the introduction of de-anonymization technologies, more and more attacks may lead to the disclosure of user privacy information. In this paper, as a user privacy protection approach, RandomMix is proposed based on account mixing and transaction value encryption. We conduct experiments on the real transactions on Ethereum and find out that RandomMix can resist account clustering attack, transaction fingerprint analysis attack and Sybil attack. Meanwhile, RandomMix consume less gas compared with other approaches.