Discover how to implement robust cryptographic solutions in your Python applications without wading through theoretical basics. You will dive straight into practical implementations of encryption, hashing, and digital signatures, learning to secure data and communications in real-world scenarios. Gain the skills to protect sensitive information, verify data integrity, and implement authentication mechanisms using modern cryptographic libraries.
Reader HighlightsSkips theoretical foundations and history, focusing exclusively on practical implementation and the reasoning behind cryptographic decisionsCovers modern techniques including elliptic curve cryptography, authenticated encryption, and next-generation signature schemes such as Ed25519Demonstrates real-world integration patterns with industry-standard Python libraries (cryptography, hashlib, secrets) rather than toy implementations or outdated approaches Applied Cryptography with Python takes you beyond superficial explanations, exploring the "why" behind cryptographic decisions alongside the "how." You will work with industry-standard libraries such as the cryptography and secrets packages, implementing everything from AES encryption to elliptic curve digital signatures.
You'll explore modern cryptographic techniques including authenticated encryption with associated data (AEAD), elliptic curve cryptography (ECC), and public key infrastructure (PKI) implementation. You will work with password-based encryption, message authentication codes, and certificate validation. Each chapter provides hands-on examples that demonstrate practical applications, from file encryption to certificate chain validation, ensuring you can immediately apply these techniques to your projects. The book covers key generation, entropy collection, and the critical details that make cryptographic implementations secure against real-world attacks.
What You Will LearnImplement AES encryption with multiple modes of operation including GCM for authenticated encryptionGenerate and manage cryptographically secure random numbers using Python's secrets moduleCreate and verify digital signatures using RSA, ECDSA, and Ed25519 algorithmsBuild public key infrastructure solutions with X.509 certificates and trust chainsApply elliptic curve cryptography for performance-critical applicationsIntegrate HMAC and authenticated encryption to ensure data integrity and authenticity Who This Book Is For Software developers with intermediate Python experience who understand cryptographic concepts theoretically but need practical implementation guidance.
Table of Contents 1. Setting Up Your Python Cryptography Environment 2. Random Number Generation and Entropy 3. Symmetric Encryption Fundamentals 4. Password-Based Authenticated Encryption 5. Hash Functions 6. Message Authentication 7. RSA and Classical Public Key Systems 8. Modern Elliptic Curve Cryptography 9. Certificates and PKI 10. Digital Signatures