Blockchain analysis

• 1. Defining The Ledger

  ›

  Blockchain analysis is the process of inspecting, identifying, clustering, modeling and visually representing data on a cryptographic distributed-ledger known as a blockchain. The goal of this work is to discover useful information about different actors transacting in cryptocurrency. Analysis of public blockchains such as Bitcoin and Ethereum is typically conducted by private companies like Arkham Intelligence, Chainalysis, TRM Labs, Elliptic, Nansen, Blockpliance, Elementus, Dune Analytics, CryptoQuant, and Ormi Labs.

• 2. Regulatory Compliance Frameworks

  ›

  Cryptocurrency exchanges are often required by law to address the source of funds for crypto traders. For example, Singapore, Japan, and the United States have all passed laws that require exchanges to track the source of the crypto funds. In the United States, the Bank Secrecy Act requires cryptocurrency businesses to implement know-your-customer and anti, money laundering programs. These entities must register with FinCEN as a money service business. Blockchain analysis enables law enforcement to trace cryptocurrencies back to individuals wallets on exchanges. This tracing allows authorities to subpoena information on criminal actors.

  456

• 3. Methodological Clustering Techniques

  ›

  Because blockchains are typically public, anyone can view the contents of transactions by querying a node or block explorer site. Popular sites include Etherscan.io or BitRef.com. By using common-spend clustering algorithms, it is possible to map the transactions of certain entities on the blockchain. This mapping process reveals how criminals move illicit funds using various cryptocurrencies. The technique relies on identifying when multiple inputs share a single owner within a transaction structure.

• 4. Law Enforcement Case Studies

  ›

  In 2025, blockchain analytics platform Arkham Intelligence discovered the largest hack ever recorded. The hack occurred in 2020 and involved a Bitcoin mining company based in China and Iran. Hackers exposed a weakness in the mining pool's method of generating private keys and stole Bitcoin worth $3.5 billion at the time. The U.S. Government has since taken control of the stolen Bitcoin. This event highlights the scale of potential losses when security protocols fail within large mining operations.

  Recent academic research highlights significant advances in blockchain analytics. Real-time monitoring and indexing of

  3891012

• 5. Major Security Breaches And Recovery

  ›

  on-chain data allows for detection of anomalies and protocol behavior. Cross-chain interoperability analytics address scalability and data integration across multiple blockchain platforms. AI/ML-powered risk detection leverages machine learning models to identify suspicious patterns, fraud, and illicit activity in transaction graphs. These developments reflect a shift from retrospective forensic tools to proactive, automated infrastructure for securing and analyzing blockchain ecosystems.

  13