Mathematical Foundation for Cyber Security

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MATHEMATICAL FOUNDATION FOR 2715901
FREE PDF 2715901
Code: 2715901 Credits: 4 Semester 1 CS

Mathematical Foundation for Cyber Security

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Mathematical Foundation for Cyber Security Syllabus — Unit-wise Content

The official GTU curriculum for Mathematical Foundation for Cyber Security (subject code 2715901) as prescribed for CS · Semester 1 divides the course into 7 units, covering 36 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (2715901)

Unit 1 Introduction to Number Theory

8 lecture hours

  • Introduction-Divisibility - Greatest common divisor – Primes- Prime numbers – Cardinality of Primes
  • Fundamental theorem of arithmetic - Mersenne primes - Fermat numbers
  • Fermat’s and Euler’s Theorem
  • Testing for Primality
  • The Chinese Reminder Theorem
  • Quadratic Congruence
  • Exponentiation and Logarithms
  • Discrete Logarithms

Unit 2 Algebraic Structures and Finite Fields

6 lecture hours

  • Groups – Cyclic groups
  • Co sets
  • Modulo groups - Primitive roots – Discrete logarithms The Euclidean Algorithm
  • Modular Arithmetic
  • Algebraic Structures-Groups
  • Rings and Fields
  • Future Fields of the Form GF(2”)
  • Polynomial Arithmetic
  • Finite Fields of the Form GF(2n)

Unit 3 Pseudorandom Number Generation and Stream Ciphers

5 lecture hours

  • Principles of Pseudorandom Number Generation
  • Principles of Pseudorandom Number Generation using a Block Cipher
  • Stream Ciphers, RC4, True Random Number Generators

Unit 4 Discrete Mathematics for Cryptography

4 lecture hours

  • Cryptography and Modular Arithmetic
  • Inverses & GCDs
  • The RSA Cryptosystems
  • Mathematical Induction
  • Recurrences and Induction
  • Recurrences and Selection

Unit 5 Coding Theory 05 15

  • Introduction - Basic concepts: codes
  • minimum distance
  • equivalence of codes
  • Linear codes - Generator matrices and parity-check matrices - Syndrome decoding – Hamming codes - Hadamard Code - Goppa codes

Unit 6 Probability Theory

4 lecture hours

  • Introduction – Concepts of Probability - Conditional Probability - Baye’s Theorem - Random Variables – discrete and continuous- central Limit Theorem-Stochastic Process- Markov Chain

Unit 7 Cryptographic Hash Functions

4 lecture hours

  • Application of Cryptographic Hash Functions
  • Two Simple Hash Functions
  • Requirements and Security
  • Hash Functions Based on Cipher Block Chaining
  • Secure Hash Functions (SHA)

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