Course Syllabus for

Mathematical Cryptology
Matematisk kryptologi

EDIN05F, 7.5 credits

Valid from: Spring 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-06-07

General Information

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: EDIN05
Teaching languages: English, Swedish

Aim

The purpose of the course is to demonstrate how advanced mathematical theory has important applications in cryptology and security.

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must

Course Contents

The course contains a number of mathematical tools with many applications, not only in cryptology and security. Most schemes addressed in the course are standards in different communication systems, e.g., elliptic curve cryptosystems. Few people have the mathematical background to be able to understand how such systems work. We also look at models for proving that a cryptographic scheme or protocol is secure. The content of the course is more specifically most of the following topics: cryptosystems based on discrete logarithms, elliptic curve cryptography, factoring and the discrete log problem, symmetric ciphers, digital signatures and hash functions, authentication, secret sharing, complexity theory, provable security and random oracles.

Course Literature

Smart, N.: Cryptography: An introduction (tredje upplagan tillgänglig för nedladdning). McGraw-Hill. ISBN 0077099877.
Some additional lecture notes.

Instruction Details

Types of instruction: Lectures, exercises, project

Examination Details

Examination formats: Written exam, written assignments. Written exam and mandatory home exercises.
Grading scale: Failed, pass
Examiner:

Admission Details

Admission requirements: EDI051 Cryptography OR EDIN01 Cryptography
Assumed prior knowledge: Basic math courses. Basic programming.

Further Information

Course coordinator: Professor Thomas Johansson

Course Occasion Information

Contact and Other Information

Course coordinator: Thomas Johansson <thomas.johansson@eit.lth.se>


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