address-reuse-tracker

Maintains stats on address reuse in Bitcoin network, displays charts

Dependencies

• IntEnum from enum34. pip install enum34
• GChartWrapper. easy_install -U GChartWrapper
• bitcoinrpc [sudo] python setup.py install
• SQLite version 3.7.11 or higher, due to the use of inserting multiple rows without SELECT and UNION clauses.
• Python 2. Will update to 3 soon!

Hardware requirements

This stores a lot of data per transaction. Processing just the first 200k blocks requires 140GB of disk space.

Choosing a data source

This tool collects two types of information:

• Blockchain data
• Blame data relevant to address reuse via remote APIs.

Blockchain data can either be obtained via Blockchain.info's API or from bitcoind via RPC interface. The latter is much faster but requires a local, indexed copy of the blockchain and installation of bitcoind/Bitcoin-Qt.

Setup for using bitcoind's RPC interface

You will need the following entries at a minimum in your bitcoin.conf file if you choose to use bitcoind rather than remote API.

# server=1 tells Bitcoin-QT to accept JSON-RPC commands.
server=1

# You must set rpcuser and rpcpassword to secure the JSON-RPC api
rpcuser=my_fabulous_username_CHANGEME
rpcpassword=my_secret_password_CHANGEME

# Listen for RPC connections on this TCP port:
rpcport=8332

#Maintain a full transaction index, used by the getrawtransaction rpc call (default: 0)
txindex=1

Configuring

Copy address_reuse_example.cfg to address_reuse.cfg. Modify the contents of this new file based on your API keys, RPC configurations, etc.

Running

The tool can be used to populate the database based on blockchain analysis and remote API calls, and then to generate graphs.

Populating the database

If you want to use only the remote API calls, run: python update_using_remote_api.py.

If you want to bitcoind's local copy of the blockchain, you will need to process things in several stages:

1. Run python update_relayed_by_cache.py.
2. Run python update_txout_cache.py. (Can be run at the same time as update_relayed_by_cache.py.)
3. Run python update_using_local_blockchain.py.
4. Run python update_deferred_blame_records.py.

Generating visualizations

This tool uses the Google graph library for visualization of address reuse. Once the database is populated to your liking, edit the constants in graph-generator.py and run:

python graph-generator.py

Tests

There are two levels of tests: Suites that require remote API calls (slow) and those that don't (quick). Respectively, run ./run_quick_tests.sh or ./run_slow_tests.sh.

Feedback

You may email all of the authors below or submit a GitHub issue.

Primary Authors

Kristov Atlas (email: firstname @ openbitcoinprivacyproject.org)

Acknowledgments

Thanks to @LaurentMT, @jlopp, and @justusranvier for their input.