An Introduction to Cryptography

Cryptography is the science of using mathematics to encrypt and decrypt data. PGP data compression routines, the random numbers used as session keys, the message digest. Compromised passphrase and private key. Protecting against bogus timestamps.

Подобные документы

  • Privacy and Authentication in program. The random Number Generation. Message-Authentication Code Algorithms. Encrypt and Authenticate Modes. Goals of Public Key Cryptography. The process optimize 32-Bit Implementation. Performance of the Small Variant.

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  • The basics of cryptography: encryption and decryption, its classification, as well as explanations the terminology and technology you will encounter as you use PGP products. Understanding digital signature, passphrase, key splitting and technical details.

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  • The origins of cryptography. Transpositions, substitutions and secret keys. The Shannon theory of secrecy. The data encryption standard. Application of des: Unix passwords. Conventional cryptographic primitives and the advanced encryption standard.

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  • Block cipher modes of operation and data transformation for asymmetrical algorithms. Standardisation in cryptography. Trust models in public key cryptography. Cryptographic standards for the World Wide Web. People who play a role in cryptography.

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  • The principle of quantum cryptography. Quantum no-cloning theorem. State detection and random number generator. Verify assumptions used in a security proof. Quantum hacking and countermeasures from this. Introduction of cryptography for engineers.

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  • A practical guide to using encryption technology to ensure confidentiality, security and integrity of your most valuable assets - its data. The analysis of the basic fundamentals of cryptography and its techniques for dealing with electronic security.

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  • One of the basic primitives in cryptography and of computer science is a pseudo-random generator. The number of important applications, including the construction of a private provably secure key cryptosystem. The construct a pseudo-random generator.

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  • The book is organized into three parts. The first part covers private-key cryptography. Chapters 4-9 concern the main topics in public-key cryptography. The remaining four chapters provide introductions to four active research areas in cryptography.

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  • The problem of protecting information by transforming it, precluding its reading an outsider. Cryptographic methods of data protection - special encryption, encoding or a conversion. Architecture, devices and addresses applications of cryptography.

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  • Private versus public key cryptography. Variable changes and normal forms. Elliptic curves over finite fields. The baby-step giant-step algorithm. Counting points on elliptic curves. Isogenies and modular polynomials. The Schoof-Elkies-Atkin algorithm.

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  • International recommendations on Using error control coding at different network layers. The complexity of decoding in the channel with independent errors. Providing security of data in a network with the help of coding methods. Public-key cryptography.

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  • An Introduction to Cryptography: Simple substitution ciphers, Divisibility and Common Divisors. Discrete Logarithms and Diffie–Hellman. The index calculus and discrete logarithms. Combinatorics, Probability and Information Theory, Digital Signatures.

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  • Classical cryptography and quantum computation, as well as the signature scheme to the security of Merkle. Challenges in quantum cryptography and the authentication path computation. Basic designs and variations of multivariate public-key cryptography.

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  • Protection from disclosure to unauthorised persons integrity. Maintaining data consistency. Assurance of identity of person or originator of data non-repudiation. Conventional encryption: uses a shared key. Digital Signatures and especially their use.

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  • Some of the more popular techniques in cryptography. The advantages and disadvantages of public-key cryptography compared with secret-key cryptography. Digital signature applications exportable from the United States. Proactive security techniques.

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  • Outline of conference proceedings in the field of development of cryptography. The use of Boolean functions in the shift registers with feedback relationship used to encrypt information. Options graphs encoding and selection of programmable design.

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  • Cryptography in the Information Age. Information Protection Problems in Computer Systems. The Fundamentals of One-Key Cryptography. Substituion—Permutation Networks with Minimal Controlled Elements. Designing Fast Ciphers Based on Controlled Operations.

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  • Password authentication is one of essential services in our life for protecting data. In other words, we may loose a lot of money, sensitive data, if passwords leak out. We have to understand clearly what is important for creating or changing passwords.

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  • Cryptography from the perspective of security and mechanisms to implement them: discussing issues such as e-mail security, public-key architecture, virtual private networks, Web services security, wireless security, and confidentiality and integrity.

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  • Familiarity with the basic principles of cryptographic protection of information. Cryptography as a set of methods for data transformation, aimed at, it is to make the data useless to the enemy. Analysis of the cryptographic algorithm with the public key.

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  • Bits and Bytes. Complementation or Bitwise NOT. Special Operations and Abbreviations. Booleans and BitFields. Conversion of Integral Types to Byte Arrays. Symmetric Block Ciphers. Rijndael and the Advanced Encryption Standard. Public Key Cryptography.

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  • A bird's-eye view of modern cryptography. Preliminaries and Defining security in cryptography. Elementary number theory and algebra background. Approximations using partial Greatest common divisors computations. Birthday-based algorithms for functions.

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  • Особливості обробки великих масивів даних у сфері інтернет-маркетингу за допомогою Data Science. Аналіз застосування методів машинного навчання для оптимізації маркетингової стратегії компанії у цифровому середовищі. Оцінка важливості збору інформації.

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  • Replacing symbolic information, such as a sequence of bits or a message written in a natural language, by another message using different symbols. The properties of arithmetic coding. The problem of reliable communication. Coding natural languages.

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  • Джерела надходження даних про ключові процеси в медичній сфері. Приклади інноваційних методів збору інформації, які набувають значного розповсюдження в умовах діджиталізації. Джерела даних у сфері охорони здоров’я, які використовуються у Data Science.

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