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Cryptography and Cryptanalysis in MATLAB = Creating and Programming Advanced Algorithms /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Cryptography and Cryptanalysis in MATLAB/ by Marius Iulian Mihailescu, Stefania Loredana Nita.
其他題名:
Creating and Programming Advanced Algorithms /
作者:
Mihailescu, Marius Iulian.
其他作者:
Nita, Stefania Loredana.
面頁冊數:
XIII, 194 p. 59 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Software Engineering/Programming and Operating Systems. -
電子資源:
https://doi.org/10.1007/978-1-4842-7334-0
ISBN:
9781484273340
Cryptography and Cryptanalysis in MATLAB = Creating and Programming Advanced Algorithms /
Mihailescu, Marius Iulian.
Cryptography and Cryptanalysis in MATLAB
Creating and Programming Advanced Algorithms /[electronic resource] :by Marius Iulian Mihailescu, Stefania Loredana Nita. - 1st ed. 2021. - XIII, 194 p. 59 illus.online resource.
1. Introduction -- 2. MATLAB Cryptography Functions -- 3. Conversions used in Cryptography -- 4. Basic Arithmetic Foundations -- 5. Number Theory -- 6. Classical Cryptography -- 7. Pseudo Random Generators -- 8. Hash Functions -- 9. Formal Techniques for Cryptography -- 10. Symmetric Encryption Schemes with Case Studies -- 11. Asymmetric Encryption Schemes -- 12. Visual Cryptography -- 13. Steganography -- 14. Chaos-based Cryptography. -------------------------------------------------------------------------------------------------------------- OLD ToC below PART 1 - FOUNDATIONS. 1. Cryptography Fundamentals -- 2. Mathematical Background and Its Applicability -- 3. Large Integer Arithmetic -- 4. Floating-point Arithmetic -- 5. New Features in MATLAB 10 -- 6. Secure Coding Guidelines -- 7. Cryptography Libraries in MATLAB PART 2 – PRO CRYPTOGRAPHY. 8. Elliptic-curve Cryptography and Public Key Algorithms -- 9. Lattice-based Cryptography -- 10. Searchable Encryption -- 11. Homomorphic Encryption -- 12. Learning with Errors and Ring Learning with Errors Cryptography -- 13. Chaos-based Cryptography -- 14. Big Data Cryptography -- 15. Cloud Computing Cryptography. PART 3 – PRO CRYPTANALYSIS. 16. Introduction to Cryptanalysis -- 17. General notions for Conducting Cryptanalysis Attacks -- 18. Linear and Differential Cryptanalysis -- 19. Integral Cryptanalysis -- 20. Attacks -- 21. Text Characterization -- 22. Basic Implementations of Cryptanalysis Methods.
Master the essentials of cryptography and cryptanalysis and learn how to put them to practical use. Each chapter of this book starts with an introduction to the concepts on which cryptographic algorithms are based and how they are used in practice, providing fully working examples for each of the algorithms presented. Implementation sections will guide you through the entire process of writing your own applications and programs using MATLAB. Cryptography and Cryptanalysis in MATLAB will serve as your definitive go-to cryptography reference, whether you are a student, professional developer, or researcher, showing how a multitude of cryptographic challenges can be overcome using the powerful tools of MATLAB. You will: Discover MATLAB’s cryptography functions Work with conversion mechanisms in MATLAB Implement cryptographic algorithms using arithmetic operations Understand the classical, simple cryptosystems that form the basis of modern cryptography Develop fully working solutions (encryption/decryption operations) Study pseudo-random generators and their real-life implementations Utilize hash functions by way of practical examples Implement solutions to defend against practical cryptanalysis methods and attacks Understand asymmetric and symmetric encryption systems and how to use them Leverage visual cryptography, steganography, and chaos-based cryptography.
ISBN: 9781484273340
Standard No.: 10.1007/978-1-4842-7334-0doiSubjects--Topical Terms:
669780
Software Engineering/Programming and Operating Systems.
LC Class. No.: QA76.75-.765
Dewey Class. No.: 004
Cryptography and Cryptanalysis in MATLAB = Creating and Programming Advanced Algorithms /
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1. Introduction -- 2. MATLAB Cryptography Functions -- 3. Conversions used in Cryptography -- 4. Basic Arithmetic Foundations -- 5. Number Theory -- 6. Classical Cryptography -- 7. Pseudo Random Generators -- 8. Hash Functions -- 9. Formal Techniques for Cryptography -- 10. Symmetric Encryption Schemes with Case Studies -- 11. Asymmetric Encryption Schemes -- 12. Visual Cryptography -- 13. Steganography -- 14. Chaos-based Cryptography. -------------------------------------------------------------------------------------------------------------- OLD ToC below PART 1 - FOUNDATIONS. 1. Cryptography Fundamentals -- 2. Mathematical Background and Its Applicability -- 3. Large Integer Arithmetic -- 4. Floating-point Arithmetic -- 5. New Features in MATLAB 10 -- 6. Secure Coding Guidelines -- 7. Cryptography Libraries in MATLAB PART 2 – PRO CRYPTOGRAPHY. 8. Elliptic-curve Cryptography and Public Key Algorithms -- 9. Lattice-based Cryptography -- 10. Searchable Encryption -- 11. Homomorphic Encryption -- 12. Learning with Errors and Ring Learning with Errors Cryptography -- 13. Chaos-based Cryptography -- 14. Big Data Cryptography -- 15. Cloud Computing Cryptography. PART 3 – PRO CRYPTANALYSIS. 16. Introduction to Cryptanalysis -- 17. General notions for Conducting Cryptanalysis Attacks -- 18. Linear and Differential Cryptanalysis -- 19. Integral Cryptanalysis -- 20. Attacks -- 21. Text Characterization -- 22. Basic Implementations of Cryptanalysis Methods.
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