@article{0f90043477594e17b81523392ba3131f,
title = "An efficient linkable group signature for payer tracing in anonymous cryptocurrencies",
abstract = "Cryptocurrencies, led by bitcoin launched in 2009, have obtained wide attention in recent years. Anonymous cryptocurrencies are highly essential since users need to preserve their privacy when conducting transactions. However, some users might misbehave with the cover of anonymity such as rampant trafficking or extortion. Thus, it is important to balance anonymity and accountability of anonymous cryptocurrencies. In this paper, we address this issue by proposing a linkable group signature for signing cryptocurrency transactions, which can be used to trace a payer's identity in consortium blockchain based anonymous cryptocurrencies, in case a payer misbehaves in the system. The anonymity can be retained if a user behaves honestly. We prove that the proposed scheme achieves full-anonymity, full-traceability and linkability in the random oracle model. Implementation of the proposed linkable group signature scheme demonstrates its high efficiency and thus, can be adopted in anonymous cryptocurrencies in reality.",
keywords = "Accountability, Consortium blockchain, Cryptocurrency, Group signatures",
author = "Lingyue Zhang and Huilin Li and Yannan Li and Yong Yu and Au, \{Man Ho\} and Baocang Wang",
note = "Funding Information: This work was supported by National Key R\&D Program of China ( 2017YFB0802000 ), NSFC, China grant ( 61802239 ), and Fundamental Research Funds for the Central Universities, China ( GK201702004 ). Baocang Wang was supported by the Plan For Scientific Innovation Talent of Henan Province, China under Grant 184100510012 , and in part by the Program for Science and Technology Innovation Talents in the Universities of Henan Province, China under Grant 18HASTIT022 . Funding Information: This work was supported by National Key R\&D Program of China (2017YFB0802000), NSFC, China grant (61802239), and Fundamental Research Funds for the Central Universities, China (GK201702004). Baocang Wang was supported by the Plan For Scientific Innovation Talent of Henan Province, China under Grant184100510012, and in part by the Program for Science and Technology Innovation Talents in the Universities of Henan Province, China under Grant 18HASTIT022. None. The authors declare that they had no conflicts of interest with respect to their authorship or the publication of this article. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",
year = "2019",
month = dec,
doi = "10.1016/j.future.2019.05.081",
language = "English",
volume = "101",
pages = "29--38",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "Elsevier B.V.",
}