Master Blockchain Security Through Real Cryptography
We teach the mathematical foundations that actually protect digital assets. No buzzwords, just the encryption methods banks and exchanges trust with billions.
Start Your JourneyWe teach the mathematical foundations that actually protect digital assets. No buzzwords, just the encryption methods banks and exchanges trust with billions.
Start Your Journey
Started with pure mathematics approach - teaching elliptic curve cryptography to computer science students. Realized most courses skip the practical implementation details.
Connected with Taiwan's fintech sector. Local exchanges needed developers who understood both the theory and the real-world attacks on cryptographic systems.
Developed our signature approach: students break weak encryption first, then build secure implementations. Nothing teaches cryptography like understanding how it fails.
Our graduates started getting hired specifically for their cryptographic expertise. Companies valued the depth of understanding over surface-level blockchain knowledge.
Launching specialized tracks in zero-knowledge proofs and post-quantum cryptography. The future of blockchain security starts with understanding what's coming next.
Quick insights into the mathematics securing modern blockchain systems
SHA-256 isn't just random numbers. Understanding why changing one bit creates completely different output teaches you how blockchain integrity actually works.
Private keys are just large random numbers, but generating them securely requires understanding entropy sources and avoiding predictable patterns that attackers exploit.
ECDSA signatures prove ownership without revealing private keys. The math behind this seeming impossibility is where blockchain security begins.
Binary trees of hashes allow verifying any transaction without downloading entire blocks. This efficiency makes blockchain scalability possible.
Practical projects that demonstrate cryptographic principles through hands-on implementation
Analyze real wallet implementations to find vulnerabilities in key generation and signature schemes.
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Build your own proof-of-work system and understand why certain cryptographic choices make networks more secure than others. We cover the mathematics behind mining difficulty adjustments and the economic incentives that keep honest nodes participating.
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Implement zk-SNARKs from scratch to understand how private verification actually works in practice.
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PhD in Applied Mathematics, 12 years developing cryptographic systems for financial institutions
Most courses teach blockchain without teaching cryptography. Students learn to call APIs but can't spot when those APIs are implementing broken security. We start with number theory and work up to smart contracts.
After working with three major exchanges that lost funds due to cryptographic errors, I know exactly which concepts separate competent developers from dangerous ones. Our September 2025 cohort focuses on these critical gaps.
Join September Cohort