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Topic: Machine Learning is Needed to Detect Money Laundering - page 2. (Read 323 times)

legendary
Activity: 3080
Merit: 1500
A statement from the article,

Quote
Bitcoin’s association with illicit activities like drug trafficking and hacks is often brought up by critics, but detecting such activities in Bitcoin is much easier compared to physical cash because of its transparent and pseudo-anonymous nature.

Money laundering and using of crcypto in illegal trades, have been two major pain points for many countries. Government servants often mention such terms while addressing the media when the regulation of cryptos come into the picture. But it is actually much easier to track such payments in a blockchain environment, thanks to the "distributed ledger technology"! I just hope that Ciphertrace and Elliptic will be able to bring some kind of vigilance around it so that we can win back the trust from the government and convince them to regulate and adopt cryptos in the main ecosystem!

Majority of the Asian countries are still skeptical about cryptos! Unless they are assured that cryptos are much easier to track than conventional money, they will continue to maintain such negative stance about cryptos! Just think about the endless possibilities of cryptocurrencies if these are adopted and circulated within the mainstream economy! 
copper member
Activity: 168
Merit: 0
It has always good to work toward making the community great and stopping the launders , the regulators are good to main a script community and technology by protecting users and the tech,
full member
Activity: 1624
Merit: 163
I don't tolerate money laundering schemes inside crypto networks such as Bitcoin and I welcome this initiative to use deep learning to detect such illicit activities yet I would like to point out that fraudstera will always find a way to circumvent it thus I hope it  could be really effective and foolproof once implemented. Imho.
We'll see how well this machine learning is but it's going to have a real hard time telling from change addresses, tumbling that's not for illicit means, exchanges and what not from real laundering. I mean how the hell could one ever tell if they take Bitcoin transfer it to monero (they don't know the monero address) and private send it to an exchange, get dash or some other coin trade it for monero again private send to an exchange and buy new bitcoins.

True, it would take them a lot of trials and errors just to teach the AI to distinguish between the addresses, it would take years. Not to mention tracking them and be able to see if it's money laundering or not. I'm curious if they will be able to pull this off properly.
hero member
Activity: 924
Merit: 520
I don't tolerate money laundering schemes inside crypto networks such as Bitcoin and I welcome this initiative to use deep learning to detect such illicit activities yet I would like to point out that fraudstera will always find a way to circumvent it thus I hope it  could be really effective and foolproof once implemented. Imho.
jr. member
Activity: 312
Merit: 1
Blockchain forensic companies such as Ciphertrace and Elliptic are developing deep learning techniques to monitor money laundering on the Bitcoin ledger. Now researchers at MIT and IBM are working to apply deep learning techniques to detect the ledger even further.

As Dave Jevans CEO of Ciphertrace has mentioned "Tracking funds through the Blockchain system requires the most advanced computer science and cybercrime knowhow."

Curious to see how these companies will plan to work with governments and if they will bridge the gap between regulators and the crypto company.

https://www.theblockcrypto.com/2019/08/02/blockchain-analytics-startup-elliptic-mit-researchers-collaborate-to-detect-money-laundering-in-bitcoin-using-deep-learning-techniques/
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