DM572: Networks and Cybersecurity

Comment

The course is co-read with DM586: Networks and Cybersecurity (7,5 ECTS)

DM572 (10 ECTS) is removed from the Computer science study program (Bachelor), but is still offered to minor in computer science and as an elective for data science. E24 offers a 7.5 ECTS version of the course: DM586: Network and Cybersecurity (7.5 ECTS).

Entry requirements

The course cannot be followed by students who have passed DM557, DM586 or AI510.

Academic preconditions

Students taking the course are expected to: Have knowledge of programming

Course introduction

The purpose of this course is to give an understanding of the issues involved in networks and in computer security, for prevention and detection of security problems.

The course builds on the knowledge acquired in the course DM550.

In relation to the competence profile of the degree it is the explicit focus of the course to:

Give competence to: handle complex and development-oriented situations in academic and work settings and identify their own learning needs and to structure own learning in different learning environments
Give skills to: make and justify decisions within the subject area, describe, formulate, and communicate problems and results to either peers and non-specialists or partners and users
Provide knowledge about: principles for the design of computer hardware and operating systems, including distributed and parallel systems

Expected learning outcome

The learning objective of the network part of the course is that the student demonstrates the ability to:

Explain basic network concepts and the structure of the internet
Explain the metrics used to measure the performance of computer networks
Explain application layer protocols such as HTTP, DNS, and SMTP
Explain the functionality and interfaces for the application layer of the TCP/IP model and the functionality of DNS
Explain the requirements for transport layer protocols, the difference between UDP and TCP, and how to secure TCP
Explain functionality and interfaces for the network layer, IP, and basic routing algorithms as well as routing in the Internet.
Explain functionality and interfaces for the link layer, including error detection, error correction, and multiple access channel protocols.
Explain characteristic differences between wireless and non-wireless networks.
Use a network traffic analyser to inspect and dissect network traffic.

The learning objective of the security part of the course is that the student demonstrates the ability to:

Explain the basic cybersecurity concepts, including protection goals, assumptions, killchains, threat analyses, digital certificates and signatures, as well as symmetric and asymmetric cryptography.
Explain all steps in the user access control procedure, types of authentication, attacks on authentication secrets, and alternatives to traditional text passwords.
Explain the human factors in security and how they can be exploited in social engineering attacks in general and in the case of phishing in particular.
Explain the basic privacy paradigms as well as the threats to data confidentiality, including OSINT, and how these threats can be countered using data anonymisation and privacy design practices.
Use specialised tools to perform guessing attacks on password hash files and recover wifi passwords.
Use attack trees as a modelling tool in threat analyses.
Handle signed and encrypted emails.
Perform anonymization of data sets.

Content

The following main topics are contained in the course: Layers in networks, basic network concepts, the TCP/IP model, network protocols, basic cryptography (symmetric and public key), key distribution and user authentication, transport level security, wireless network security, electronic mail security, intruders, malicious software, penetration testing, social engineering, human factors.

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn and January

Tests

Portfolio

EKA

N330058102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

Oplyses på kurset

ECTS value

Additional information

Portfolio exam consisting of two parts:

A number of assignments - takes place during the coures
Oral examination - takes place in januarr

Indicative number of lessons

65 hours per semester

Teaching Method

At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase. These teaching activities are reflected in an estimated allocation of the workload of an average student as follows:

Intro phase (lectures) - 39 hours
Training phase: 26 hours, including 26 hours tutorials

The intro phase facilitates an introduction to new material and topics, which in the skills training phase are processed with exercises prepared at home and discussed in class to validate the acquired knowledge.

Activities during the study phase: Reading from text books, solving homeworks and applying acquired knowledge to practical projects.

Teacher responsible

Name	E-mail	Department
Peter Mayer	mayer@imada.sdu.dk	Concurrency

Additional teachers

Name	E-mail	Department
Fabrizio Montesi	fmontesi@imada.sdu.dk	Institut for Matematik og Datalogi
Jacopo Mauro	mauro@imada.sdu.dk	Institut for Matematik og Datalogi
Robin Kaarsgaard Sales	kaarsgaard@imada.sdu.dk	Institut for Matematik og Datalogi

Timetable

Odense

Show full time table

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

Profile	Education	Semester	Offer period

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study.

If a transitional arrangement has been made for a course, it will be stated in the list.

See transitional arrangements for all courses at the Faculty of Science.