- Hong Kong Customs partners with University of Hong Kong to develop cryptocurrency tracing tool
16 June 2025
The initiative responds to rising virtual asset-related money laundering, with seven suspected cases totalling over HKD 9 billion detected since 2021 out of 39 reported money laundering incidents.…
- Heavy Nodes in a Small Neighborhood: Algorithms and Applications
Open code repo by Kings College researchers looking at isolating suspicious AML activity by analysing a series of interrelated transactions for 'smurfing' activities
- FTS’s Strix anti-money laundering technology
News
FTS’s Strix anti-money laundering technology was selected by the Central Bank of Oman to automate its collection of bi-annual AML and countering the financing of terrorism returns from regulated…
- Flowscope
Open Code
FlowScope is developed for ML detection based on multipartite graph, which models the high-volume flows of funds through chains of bank accounts, and detects the complete flow of money from source to…
- ER-20 Log Dataset
Open Data
This dataset contains transactions data from normal and phishing accounts, de-anonymized for analytics in Ethereum fraud detection
- Elliptic++
Open Data
The Elliptic++ dataset consists of 203k Bitcoin transactions and 822k wallet addresses to enable both the detection of fraudulent transactions and the detection of illicit addresses (actors) in the…
- Elliptic Plusplus
Open Data
This repository introduces a comprehensive applied data science approach to Bitcoin network fraud detection, leveraging the Elliptic++ dataset. Utilizing graph data, the repository employs four graph…
- Data analytics tools for supervising money services businesses
Video
Bank Negara Malaysia has developed advanced tools leveraging natural language processing and machine learning to enhance supervision of the money services business (MSB) sector, which is particularly…
- BIS warns banks of emerging risks from permissionless blockchains.
Report · 28 August 2024
According to a recent paper published by the BIS, permissionless blockchains or similar distributed ledger technologies (DLTs) introduce several risks that banks are still grappling with. The paper…
- BERTH4ETH
Open Code
This GitHub repository houses code (TensorFlow version) and datasets for the paper "BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection," accepted at ACM Web conference (WWW) 2023…
- AUSTRAC unveils artificial intelligence (AI) transparency statement to combat financial crime
News · 28 March 2025
Australia's financial intelligence agency, AUSTRAC, has published its AI Transparency Statement, detailing how it employs AI to enhance detection of money laundering, terrorism financing and…
- Advanced Misconduct Detection
Speech
The SEC uses a sequential approach in some of its misconduct detection methods. The SEC ingests a large corpus of structured and unstructured data from regulatory filings of investment advisers into…
- Machine learning for anomaly detection in money services business outlets using data by geolocation
Report · 29 November 2024
Since 2017, licensed money services business (MSB) operators in Malaysia report transactional data to the Central Bank of Malaysia on a monthly basis. The data allow supervisors to conduct off-site…
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