Subject Name Mathematical Foundations of Information Security Subject code 14M22CI121 Module No. Subtitle of the Module Topics 1. Probability Theory Random Experiments, Sample Space, Events, Mathematical, Statistical and Axiomatic Definitions of Probability; Conditional Probability, Independent Events; Total Probability Theorem; Bayes’ Theorem 2. Random Variables Discrete Random Variable, Probability Function, Continuous Random Variable, Probability Density Function; Distribution Function; Statistical Averages 3 Divisibility Euclidean Algorithm Divisibility; Prime numbers; Fundamental Theorem of Arithmetic; Series of reciprocals of the primes; Euclidean algorithm and Continued fractions; Euclid’s theorem and the Sieve of Eratosthenes; Pseudo-primes. 4 Arithmetical Functions Mobius function 5 Congruences Basic properties of congruences; Residue classes and complete residue systems; Linear congruences; Reduced residue systems and Euler-Fermat theorem; Polynomial congruences modulo p, Lagrange’s theorem and applications; Chinese remainder theorem and its applications; Polynomial congruences with prime power moduli. 6 Finite Fields Basics of Groups. Rings, Fields. Finite Fields and Existence of Finite Fields, Polynomials, Unique Factorization 7 Theorems on Distribution of Prime Numbers and ( n); Euler totient function (n); Connection between Mobius and Totient functions; Product formula for Totient function; Dirichlet product of arithmetical functions; Dirichlet inverses and the Mobius inversion formula; Mangoldt function; multiplicative functions; multiplicative functions and Dirichlet multiplication (n) Chebychev’s functions and their relations; Prime number theorem; Shapiro’s Tauberian theorem and its applications; Asymptotic formula for partial sum of (1 / p) . Partial sums of Mobius function; Elementary proof of the p x prime number theorem; Selberg’s asymptotic formula. 8 Quadratic Residues and Quadratic Reciprocity Quadratic Residues, Legendre’s Symbol and its properties; Gauss Lema; Law of Quadratic Reciprocity, Binary Quadratic Forms, Equivalence and Reduction of Binary Quadratic Forms, Gauss Sum and Quadratic reciprocity law, Positive Definite Binary Quadratic Forms 9 Applications cryptography Public key cryptography, RSA, Discrete Log Problem (Diffie Hellman Key Exchange). 10 Graph Theory to Introduction to graph theory, vertex cover problem, graph coloring problem, Basic introduction to graph connectivity and network flow Recommended Reading: Author(s), Title, Edition, Publisher, Year of Publication etc. in IEEE format 1 J.J. Schiller, M.R. Spiegel, R.A. Srinivasan, Probability and Statistics, Schaum Series, 3rd edition 2 Tom M. Apostol: Introduction to Analytic Number Theory, Narosa Publishing House, 1998 3 Melvyan B. Nathanson: Elementary Methods in Number Theory (Graduate Texts in Math), Springer, 2000 4 Neal Koblitz: A Course in Number Theory and Cryptography, Second Edition, Springer, 1994 5 Graham Everest & Thomas Ward: An Introduction to Number Theory, Springer, 2005 5 T. Verarajan, Probability theory, Statistics and Random Processes, TMH