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Researchers have created a system capable of identifying money laundering activities on the Bitcoin blockchain. This AI-driven tool not only detects individual transactions but also recognizes patterns of illicit activities involving BTC.
Scientists from the MIT-IBM Watson AI Lab and Elliptic performed comprehensive tests utilizing artificial intelligence to uncover money laundering activities on the Bitcoin blockchain. The findings revealed the development of a dedicated tool that can trace funds entering cryptocurrency exchange accounts from dubious origins.
The primary objective of the study was to investigate how AI can enhance the detection mechanisms for financial crime schemes on blockchain networks. Throughout the research, the machine learning model examined over 200,000 BTC transactions, highlighting those linked to unlawful activities, such as ransomware operations or the dark web. Consequently, a transaction identification system was established, which was subsequently employed to scrutinize nearly 200 million BTC transactions. The AI tool became adept at recognizing and tagging entire sequences of BTC transactions involved in money laundering. This system facilitates the detection of not only individual crypto wallet addresses tied to illegal activities but also the recognition and documentation of specific multi-tiered money laundering operations.
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To evaluate the tool’s performance, researchers applied it to analyze BTC transactions on a cryptocurrency exchange, the name of which remains undisclosed. The model uncovered 52 instances of money laundering by exchange users through Bitcoin transactions. Representatives from the exchange confirmed that 14 of the flagged transactions were indeed linked to addresses marked as suspicious. Notably, the exchange identifies and flags users based on off-chain information. The AI model developed can detect money laundering cases that traditional on-chain analysis methods might miss.
The authors of the project assert that the machine learning model can also uncover previously unidentified wallets associated with criminal activities. Since the AI tool can recognize entire schemes, all addresses involved in such schemes will be automatically flagged as linked to criminal behavior. This methodology enabled researchers to discover several wallets utilized in Ponzi schemes and on the dark web that had not been previously identified.
Elliptic intends to leverage this AI model to enhance its offerings and encourages the community to utilize the tool for data sharing to develop strategies against crypto crime.
Although there was a decline in the volume of illegal cryptocurrency transactions in 2023, assets totaling over $24.2 billion were still involved. Furthermore, more than 60% of these illegal transactions were conducted using stablecoins.
Сообщение AI Tool for Detecting Money Laundering with Bitcoin Created появились сначала на CoinsPaid Media.
