• Corpus ID: 10179463

Bitcoin Transaction Graph Analysis

  title={Bitcoin Transaction Graph Analysis},
  author={Michael Fleder and Michael S. Kester and Sudeep Pillai},
Bitcoins have recently become an increasingly popular cryptocurrency through which users trade electronically and more anonymously than via traditional electronic transfers. [] Key Method Our approach is two-fold: (i) We annotate the public transaction graph by linking bitcoin public keys to "real" people - either definitively or statistically. (ii) We run the annotated graph through our graph-analysis framework to find and summarize activity of both known and unknown users.

Figures from this paper

De-Anonymizing the Bitcoin Blockchain

This paper uses a novel approach that involves unsupervised clustering based on structural and attribute similarities in an augmented transaction graph to cluster together addresses owned by the same entity, and finds this methodology to be successful in proof-of-concept tests.

Improving Bitcoin Ownership Identification Using Transaction Patterns Analysis

This paper analyzes different patterns of transactions occurring in the Bitcoin network in order to cluster addresses that share the same ownership and shows that the proposed heuristic was able to detect relationships between Bitcoin addresses that were missed by the existing heuristics.

BITSCOPE: Scaling Bitcoin Address De-anonymization using Multi-Resolution Clustering

This work proposes BITSCOPE, a de-anonymization system that uses a layered approach and exploits the domain-specific structures in Bitcoin transaction network and uses a graph-based approach to process a graph of nearly 1 billion nodes.

Community Detection and Analysis in the Bitcoin Network CS 224 W Final Report April

Given the public nature of the Blockchain, in which every transaction is recorded, it provides an excellent source of data from which to infer and analyze flows of funds and connections between users.

De-Anonymization of the Bitcoin Network Using Address Clustering

This study added a bitcoin address clustering process so that it could suppose that all addresses in each cluster are owned by one entity, and showed that this change increased the percentages of reliable mappings that the method could find.

A Study of Bitcoin De-Anonymization: Graph and Multidimensional Data Analysis

A visual analysis system for bitcoin transactions based on a graph database and use real-world multi-dimensional data sources to analyze the entity information of bitcoin transactions on the chain to achieve the effect of de-anonymization.

Do Bitcoin Users Really Care About Anonymity? An Analysis of the Bitcoin Transaction Graph

This paper demystifies this doubt via analyzing the Bitcoin transaction graphs with the following three contributions: it outlines three representative metrics that can signify whether users concern about anonymity, and examines the collective trend of anonymity concerns from a macroscope.

Bitcoin's Crypto Flow Network

All the blockchain data of Bitcoin from its genesis to the year 2020 is compiled, users are identified from anonymous addresses of wallets, and monthly snapshots of networks are constructed by focusing on regular users as big players, finding that the bow-tie structure and the principal components are quite stable among those big players.

The Anti-Social System Properties: Bitcoin Network Data Analysis

The evolution of the entire Bitcoin transaction graph from its inception is analyzed, providing initial understanding of social networks rooted in and driven by anti-social constraints and illuminating the evolutionary dynamics of the most popular cryptocurrency.

Evolution of the Bitcoin Address Graph An Exploratory Longitudinal Study

This paper presents initial results of a longitudinal study conducted over the Bitcoin address graph, which contains all addresses and transactions from the beginning of Bitcoin in January 2009 until 31 of August 2016 and reveals a highly-skewed degree distribution with a small number of outliers.



Quantitative Analysis of the Full Bitcoin Transaction Graph

This paper answers for the first time a variety of interesting questions about the typical behavior of users, how they acquire and how they spend their bitcoins, the balance of bitcoins they keep in their accounts, andHow they move bitcoins between their various accounts in order to better protect their privacy.

An Analysis of Anonymity in the Bitcoin System

  • F. ReidMartin Harrigan
  • Computer Science, Mathematics
    2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
  • 2011
It is shown that the two networks derived from Bitcoin's public transaction history have a non-trivial topological structure, provide complementary views of the Bit coin system and have implications for anonymity.

Bitcoin: A Peer-to-Peer Electronic Cash System

This work proposes a solution to the double-spending problem using a peer-to-peer network, where the network timestamps transactions by hashing them into an ongoing chain of hash-based proof-of-work, forming a record that cannot be changed without redoing the proof- of-work.

How Did Dread Pirate Roberts Acquire and Protect his Bitcoin Wealth?

The publicly available record is used to trace the evolution of Ross William Ulbricht's holdings in order to find how he acquired and how he tried to hide them from the authorities, and show that all his Silk Road commissions were not seized by the FBI.