Leveraging Open Source INTelligence (OSINT) for Cryptocurrency Crime Investigation Using Tools and Techniques

This research explores the application of Open Source INTelligence (OSINT) techniques for investigating cryptocurrency-related crimes, a rapidly growing area with unique challenges for traditional law enforcement methods. Given the decentralized and pseudonymous nature of cryptocurrencies, this study proposes a framework leveraging publicly available online data to enhance investigative capabilities. The research first reviews the burgeoning cryptocurrency market, the prevalent types of associated crimes, and the definition and classification of OSINT, highlighting its increasing importance in various investigative domains. The core research focuses on utilizing OSINT tools and techniques, specifically blockchain explorers and cryptocurrency analysis platforms, integrated within a four-stage cybercrime investigation process. The study also demonstrates how these tools can be strategically applied at each stage, illustrating their effectiveness in tracking cryptocurrency transactions, identifying suspicious patterns, and tracing the flow of funds. The research concludes that OSINT significantly enhances the investigation of cryptocurrency crimes by providing a systematic approach to analyzing publicly available data within the established cybercrime investigation framework and discusses further research areas.