Y-Xiang-hub/Bitcoin-Address-Behavior-Analysis
This repository contains code for BABD, as detailed in our paper published in IEEE TIFS
This project helps financial investigators and cybersecurity analysts understand behaviors associated with specific Bitcoin addresses. It takes raw Bitcoin transaction data and labeled addresses, then extracts features to reveal patterns and relationships. The output is a structured dataset that can be used for further analysis or machine learning to identify suspicious or categorized activities.
Use this if you need to systematically collect, process, and analyze Bitcoin transaction data to understand the behavioral characteristics of different Bitcoin addresses.
Not ideal if you are looking for a pre-built, user-friendly application for real-time Bitcoin address monitoring without needing to process raw ledger data.
Stars
30
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
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