MIT Artificial Intelligence Lab: Only 2% of Bitcoin transactions are related to illegal activities

According to CoinDesk, MIT and blockchain analysis firm Elliptic have released a report that only 2% of the sampled 200,000 bitcoin transactions are considered to be related to “illegal activities”, although 21% of transactions It is considered legal, but the vast majority of transactions (about 77%) still cannot be classified. Elliptic co-founder Tom Robinson said that Elloptic is often employed by law enforcement agencies to identify illegal activities using cryptocurrencies. This study aims to explore the use of machine learning to identify features that help distinguish between illegal use and legal use of Bitcoin, and reduce False positives in illegal transactions. Mark Weber, a researcher at the Massachusetts Institute of Technology, said that he is working with experts to comment on the application of the experiment to anti-money laundering.