Plan du cours
Foundations of Blockchain Technology
Decentralization, openness, and transparency as architectural properties
Cryptographic primitives that secure the chain: hashing, digital signatures, Merkle trees
Consensus mechanisms: Proof of Work, Proof of Stake, and emerging alternatives
Nodes, miners, validators, and the topology of a live network
Cryptocurrency Landscape
Bitcoin and the original ledger model
Ethereum and account-based smart contract execution
Privacy-oriented chains: Monero, Zcash, and how they differ from transparent ledgers
Stablecoins, altchains, and their role in illicit flows
Hands-On Lab - Reading the Blockchain
Connecting to Bitcoin and Ethereum nodes for live data access
Navigating block explorers and querying live transactions
Reading raw transactions, scripts, and smart contract calls
Mapping a wallet's history on a transparent chain
Wallets, Keys, and Transaction Mechanics
Wallet taxonomy: web, desktop, mobile, hardware, custodial versus non-custodial
Seed phrases, key derivation, and recovery vectors
UTXO versus account-based transaction models
Addresses, change outputs, and transaction graphs from a tracer's perspective
Mining and Trading as Investigative Context
Mining mechanics, pools, hash rate, and how mining is exploited to launder or originate funds
Centralized exchanges, decentralized exchanges, and over-the-counter desks
KYC and AML controls at exchanges and where they break down
How trading patterns can mask underlying corruption flows
Smart Contracts and DeFi Surface
What smart contracts are and how their state is observable on-chain
DeFi primitives: swaps, lending, liquidity pools, and yield farming
Cross-chain bridges and wrapped assets as obfuscation tools
Reading contract interactions for investigative signal
Hands-On Lab - Wallet and Transaction Forensics
Inspecting hardware and software wallets in a controlled environment
Recovering and analyzing artifacts from seized devices
Reconstructing transaction graphs across UTXO and account-based chains
Address Clustering and Attribution
Common-input clustering and other industry-standard heuristics
Change-output detection and behavioral fingerprints
Linking on-chain entities to off-chain identities through OSINT
Combining web crawling, social, and leaked data sources for attribution
Dark Web, Marketplaces, and Criminal Cryptocurrency Flows
Mapping criminal economies on dark web marketplaces
Common typologies: scams, fraud, contraband, sanctions evasion
Tracking proceeds from initial deposit through cash-out points
Indicators of corruption-linked crypto activity
Privacy-Enhancing Tools and Counter-Forensics
Mixers, tumblers, and CoinJoin implementations
Privacy coins and the limits of public-chain tracing
Cross-chain bridges and asset wrapping as obfuscation layers
What tracing can and cannot recover under each technique
Hands-On Lab - Tracing a Suspect Wallet
Using open-source tools to follow a complex transaction graph
Clustering a wallet network and assigning confidence to attribution
Documenting findings as a structured intelligence package
Money Laundering Typologies in Crypto
Placement, layering, and integration adapted to digital assets
Layering through decentralized exchanges, bridges, and mixers
DeFi protocols as laundering surfaces and how to read them
Cash-out vectors: peer-to-peer markets, OTC desks, and prepaid instruments
Ransomware, Theft, and Scam Response
Ransomware payment patterns and immediate response steps
Negotiation and recovery practices, with limits and risks
Exchange hacks, rug pulls, phishing, and large-scale theft analysis
Working with victims to preserve evidence without compromising the investigation
Cross-Chain Investigation
Tracing assets across Bitcoin, Ethereum, and EVM-compatible chains
Following funds through bridges and wrapped tokens
Reconciling on-chain evidence with exchange and off-chain records
Hands-On Simulation - Corruption Investigation Lab
Simulated bribery flow across multiple chains and a mixer
Building a coherent narrative from fragmented on-chain evidence
Producing chain-of-custody documentation for digital evidence
AML Compliance and the Legal Landscape
FATF guidance, the Travel Rule, and jurisdictional differences
AML and KYC obligations across virtual asset service providers
Sanctions, politically exposed persons, and corruption-relevant typologies
Integrating cryptocurrency findings into existing compliance programs
Working with Exchanges and Cross-Border Partners
Subpoenas, MLATs, and information-sharing channels
Freezing orders, asset preservation, and seizure procedures
Coordinating cryptocurrency tracing with traditional financial investigation lines
Digital Evidence and Courtroom Readiness
Chain of custody for cryptocurrency artifacts and on-chain evidence
Presenting blockchain evidence to non-technical decision-makers and juries
Common challenges to digital evidence and how to defend findings
Working with expert witnesses and external technical advisors
Capstone - End-to-End Corruption Inquiry Simulation
Working from initial intelligence tip through full investigation
Building the wallet network, attribution, and timeline
Engaging exchanges and cross-border partners
Producing a courtroom-ready report and oral briefing
Summary and Next Steps
Pré requis
- Intermediate technical literacy, including networking and basic Linux command-line use
- Working understanding of cryptography concepts such as hashing and public-key encryption
- Background in financial investigation, cybersecurity, forensics, or compliance
- Familiarity with at least one scripting language is helpful but not required
- General comprehension of financial transactions and AML principles
Targeted Audience
Investigators and forensic analysts in anti-corruption agencies, financial crime units, and law enforcement. Cybersecurity specialists supporting fraud, AML, and digital evidence functions. Compliance and risk professionals operating in regulated environments where cryptocurrency exposure is increasing.
Nos clients témoignent (3)
- J'aime l'introduction à la blockchain. Pour un débutant en blockchain comme moi, cela m'a beaucoup éclairé. - J'apprécie aussi l'atelier technique, il est également intéressant.
Muhammad Lutfi Budiansyah - PT Digital Daya Teknologi
Formation - Web3 Engineering & Supply Chain Finance Architecture
Traduction automatique
J'apprécie vraiment la formation avec Patrick. Il est clairement très compétent sur divers sujets liés à la blockchain. Il explique très bien.
Vanessa Rose - Bank for International Settlements
Formation - Ethereum for Developers
Traduction automatique
excellente gestion de l'information
Kenia Iveth - si
Formation - Blockchain - Theory and Practice
Traduction automatique
