Valid from: Autumn 2018
Decided by: Anders Gustafsson
Date of establishment: 2018-11-27
Division: Electrical and Information Technology
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: EDIN01
Teaching language: English
This course is intended to be an introduction to the fascinating subject of cryptography. It provides both a firm ground in the fundamentals and a feel for the subject for anyone interested either in carrying out cryptographic research or employing cryptographic security.
Knowledge and Understanding
For a passing grade the doctoral student must
Competences and Skills
For a passing grade the doctoral student must
Classical cryptography: Introduction and basic notation, The Caesar cipher, simple substitution, polyalphabetic ciphers (Vigenére, Kasiski’s method, Vernam), transposition ciphers, rotor machines (Enigma). Shannon’s theory of secrecy: entropy, key and message equivocation, redundancy, unicity distance, perfect secrecy. Shift register theory and stream ciphers: Finite fields, linear feedback shift register sequences, periods and cycle sets, shift register synthesis, nonlinear combinations of sequences, attacks on stream ciphers. Block ciphers: Data Encryption Standard (DES), Advanced Encryption Standard (AES). Public key cryptography: Basic number theory, RSA, Diffie-Hellman key exchange, factoring, primality, digital signatures. Hash functions: properties, collision attacks, the birthday paradox Authentication codes: Impersonation and substitution attacks. Secret sharing: Shamir’s threshold scheme, general secret sharing, perfect and ideal schemes. Projects: 1. Factoring. 2. Shift register sequences. 3. Correlation attacks.
Lecture notes in cryptology (distributed by the department).
Types of instruction: Lectures, project
Examination format: Written exam.
Written exam and three mandatory projects.
Grading scale: Failed, pass
Examiner:
Assumed prior knowledge: A first course in programming. Basic mathemathics like linear algebra and probability theory.
Course coordinator: Professor Thomas Johansson, thomas@eit.lth.se
Course coordinators:
Web page: https://www.eit.lth.se/index.php?ciuid=1136&L=0