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FraudLens

An AI platform for investigating cryptocurrency crime, linking transactions across wallets and consolidating victim reports for law enforcement.

Lead researcher
Nhien An Le Khac
Institution
University of Limerick
FraudLens

About the project

Cryptocurrency crime has grown rapidly, with an estimated $20 billion involved in thefts, hacks, and scams in 2022 alone. The pseudonymous nature of cryptocurrencies like Bitcoin allows criminals to operate multiple wallets, making tracking transactions across networks extremely challenging. .

FraudLens provides a comprehensive software platform to support end-to-end investigation of cryptocurrency-related crime.The platform leverages state-of-the-art AI and deep learning algorithms to associate and identify criminal transactions more effectively than existing solutions. It also provides a centralised database for law enforcement to consolidate victim complaints and statements, enabling data mining to identify patterns and guide ongoing investigations.

The key objectives for FraudLens are:

1.Developing an AI-based platform capable of tracing and deanonymising cryptocurrency transactions across complex networks.
2.Creating a centralised database for law enforcement to manage cases, victim complaints, and transaction logs, enabling advanced data mining for crime pattern detection.
3.Automating critical investigative and reporting tasks.

Last updated: 8 September 2026

Project team

Nhien An Le Khac

Lead researcher
University College Dublin

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