Processing Heterogeneous Cryptocurrency Exchange Data for Law Enforcement: A Proposal for an Online Tool
Abstract
The growing number of criminal investigations involving cryptocurrency-related offenses, mainly investment fraud or crypto scams, has led to an increased frequency of Law Enforcement Agencies requesting information from cryptocurrency exchanges. However, the data provided by these entities often varies significantly in terms of format, structure, and level of detail, which complicates efficient processing and analysis. This article proposes the development of an online tool designed to automatically process data received from various cryptocurrency exchanges. The tool aims to convert disparate datasets into a standardized and readable format, thereby enhancing the effectiveness of investigative procedures and improving the consistency and quality of data analysis in criminal cases. The paper outlines the core functional assumptions of the proposed solution, presents its system architecture, and discusses example use cases. A prototype implementation has been deployed and evaluated on sample datasets from five major cryptocurrency exchanges.
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