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CS 575 — Ethical Hacking and Practical Cryptanalysis
(dt. Ethisches Hacken und praktische Kryptoanalyse)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements		 6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral examination (individual examination) or written examination
Language,
Grading		 English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Duration,
frequency		 One semester,
irregular (Sommersemester)
Person in charge of the module's outline Prof. Dr. Elmar Tischhauser

Contents

Learn practical techniques for breaking security systems and cryptographic procedures, specifically:

  • Server hardening
  • Network security
  • intrusion detection
  • Working with security patterns
  • Web services security
  • Introduction to cryptanalysis
  • role of keys, IVs and nonces in practical systems
  • Selected practical attack techniques (time-memory tradeoffs, password cracking, meet-in-the-middle attacks, statistical attacks)

Qualification Goals

Students will

  • know selected techniques for breaking security systems and learn cryptographic procedures,
  • are able to implement these in practice (implementation and project work), especially with regard to server security, network security, computer-aided analysis of cryptographic procedures and security architectures,
  • know ethical and legal concerns of hacking.

Prerequisites

None. The competences taught in the following modules are recommended: Introduction to Cryptography and its Applications, IT-Security.


Applicability

Module imported from M.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • M.Sc. Data Science
  • M.Sc. Computer Science

When studying M.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • Will be announced in the course as required.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.