Analyzing blockchain transactions and attribution techniques to uncover illicit financial activity in cryptocurrency ecosystems.
This research topic focuses on methods to trace, analyze, and deanonymize the flow of funds associated with criminal activity on blockchain networks. While cryptocurrencies like Bitcoin and Monero offer varying levels of pseudonymity or anonymity, advances in blockchain analytics, transaction clustering, and forensic attribution have made it possible to link wallets, identify mixing services, and reveal patterns indicative of money laundering, ransomware operations, and illicit marketplaces. Research in this area also explores the limitations of current privacy-enhancing tools, legal considerations, and the integration of blockchain intelligence with traditional investigative techniques. These efforts are essential for supporting regulatory compliance, financial transparency, and the disruption of cybercriminal ecosystems.
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