报告题目：Self-organizing in blockchain infrastructures
报告时间：2022年4月21日(周四) 8:00—10：00
腾讯会议 ID: 335-645-877
报告人： 尚广志（佛罗里达州立大学）
主办单位：合肥工业大学经济学院
报告人简介：
尚广志，美国佛罗里达州立大学（Florida State University）商学院副教授、运营管理博士，现任《Journal of Operations Management》和《Decision Sciences》的部门主编。尚教授主要从事消费者退货管理和服务劳工问题的研究，取得了非常优异的学术成果，在国际顶级期刊（如MIS Quarterly, Journal of Operations Management, Production and Operations Management, Decision Sciences等）上发表10余篇高质量学术论文。
内容简介：
Bitcoin is a cryptocurrency whose transactions are recorded on
a distributed, openly accessible ledger. On the Bitcoin Blockchain, an owning entity’s real-world identity is hidden behind a pseudonym, a so-called address. Therefore, Bitcoin is widely assumed to provide a high degree of anonymity, which is a driver for its frequent use for illicit activities. This paper presents a novel approach for deanonymizing the Bitcoin Blockchain by using Supervised Machine Learning to predict the type of yet-unidentified entities.
