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Demystifying Cryptography with OpenSSL 3.0

You're reading from   Demystifying Cryptography with OpenSSL 3.0 Discover the best techniques to enhance your network security with OpenSSL 3.0

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800560345
Length 342 pages
Edition 1st Edition
Languages
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Author (1):
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Alexei Khlebnikov Alexei Khlebnikov
Author Profile Icon Alexei Khlebnikov
Alexei Khlebnikov
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Introduction
2. Chapter 1: OpenSSL and Other SSL/TLS Libraries FREE CHAPTER 3. Part 2: Symmetric Cryptography
4. Chapter 2: Symmetric Encryption and Decryption 5. Chapter 3: Message Digests 6. Chapter 4: MAC and HMAC 7. Chapter 5: Derivation of an Encryption Key from a Password 8. Part 3: Asymmetric Cryptography and Certificates
9. Chapter 6: Asymmetric Encryption and Decryption 10. Chapter 7: Digital Signatures and Their Verification 11. Chapter 8: X.509 Certificates and PKI 12. Part 4: TLS Connections and Secure Communication
13. Chapter 9: Establishing TLS Connections and Sending Data over Them 14. Chapter 10: Using X.509 Certificates in TLS 15. Chapter 11: Special Usages of TLS 16. Part 5: Running a Mini-CA
17. Chapter 12: Running a Mini-CA 18. Index 19. Other Books You May Enjoy

How to generate a symmetric encryption key

Generating an encryption key for symmetric encryption is surprisingly easy. You just request the needed amount of random bytes from your cryptographically secure random generator!

Which random generator is considered cryptographically secure? It is a random generator that generates bytes that are extremely hard to predict. The unpredictability of generated random bytes is accomplished by using the entropy caused by unpredictable events from the outside world. Often, cryptographically secure random generators use the entropy caused by the unpredictable timing of the input from a keyboard and mouse. If the keyboard and mouse are unavailable, for example, when an application is running in a container, then another source of entropy can be used, such as microfluctuations in the CPU speed. Another common entropy source is a ring oscillator that can be included in the CPU or another chip.

What is the correct amount of random bytes? It is the...

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