Faculty Mentor Information
Dr. Gaby Dagher (Mentor), Boise State University; and Dr. Steve Cutchin (Mentor), Boise State University
Additional Funding Sources
This research has been supported by the National Science Foundation under award #2349042.
Abstract
In the evolving cryptocurrency landscape, Bitcoin continues to be a hub for legal and criminal activity. The primary objective of this study is to improve the readability and transparency of blockchain data by creating a comprehensive framework for Bitcoin transaction visualization. Our approach provides crucial insights into possible fraudulent activity by highlighting and identifying irregularities in transaction patterns through the use of refined data interpretation and visualization tools. The system also includes tools for identifying and visualizing transactions connected to the dark web. We aim to show the effectiveness of our technique by revealing hidden patterns and enabling a deeper knowledge of Bitcoin transaction dynamics through comprehensive case studies and data analysis. We intend to provide interactive visualization tools designed to illuminate Bitcoin transaction flow, facilitating anomaly detection while maintaining user comprehension. This research represents a significant contribution to the broader effort of ensuring security and integrity within the cryptocurrency ecosystem.
Illuminating the Blockchain: Visualizing Bitcoin Transactions, Anomalies, and Dark Web Connections
In the evolving cryptocurrency landscape, Bitcoin continues to be a hub for legal and criminal activity. The primary objective of this study is to improve the readability and transparency of blockchain data by creating a comprehensive framework for Bitcoin transaction visualization. Our approach provides crucial insights into possible fraudulent activity by highlighting and identifying irregularities in transaction patterns through the use of refined data interpretation and visualization tools. The system also includes tools for identifying and visualizing transactions connected to the dark web. We aim to show the effectiveness of our technique by revealing hidden patterns and enabling a deeper knowledge of Bitcoin transaction dynamics through comprehensive case studies and data analysis. We intend to provide interactive visualization tools designed to illuminate Bitcoin transaction flow, facilitating anomaly detection while maintaining user comprehension. This research represents a significant contribution to the broader effort of ensuring security and integrity within the cryptocurrency ecosystem.