Forventet læringsutbytte

Knowledge

The candidate possesses advanced knowledge in detection and prevention of intrusions in modern computer systems and networks.

The candidate possesses thorough knowledge about theory and scientific methods relevant for intrusion detection.

The candidate is capable of applying his/her knowledge in new fields of intrusion detection and prevention.

Skills

The candidate is capable of analyzing existing theories, methods and interpretations in the field of intrusion detection and working independently on solving theoretical and practical problems.

The candidate can use relevant scientific methods in independent research and development in intrusion detection.

The candidate is capable of performing critical analysis of various literature sources and applying them in structuring and formulating scientific reasoning in the field of intrusion detection and prevention.

The candidate is capable of carrying out an independent limited research or development project in intrusion detection under supervision, following the applicable ethical rules.

General competence

The candidate is capable of analyzing relevant professional and research ethical problems in the field of intrusion detection.

The candidate is capable of applying his/her knowledge and skills in new fields, in order to accomplish advanced tasks and projects.

The candidate can work independently and is familiar with terminology in the field of intrusion detection and prevention.

The candidate is capable of discussing professional problems, analyses and conclusions in the field of intrusion detection and prevention, both with specialists and with general audience.

The candidate is capable of contributing to innovation and innovation processes.

Emnets temaer

1. Definition and classification of IDS systems

2. Basic elements of attacks against computer networks and their detection

3. Misuse-based IDS

4. Anomaly-based IDS

5. Testing IDS and measuring their performances

Pedagogiske metoder

Forelesninger
Lab.øvelser
Oppgaveløsning
Prosjektarbeid

Pedagogiske metoder (fritekst)

Lectures

Laboratory exercises

Numerical exercises

Project work

Vurderingsformer

Skriftlig eksamen, 3 timer
Vurdering av prosjekt(er)

Vurderingsformer

Written exam, 3 hours (counts 70% of the final mark)

Project evaluation (counts 30% of the final mark)

Both parts must be passed.

Karakterskala

Bokstavkarakterer, A (best) - F (ikke bestått)

Sensorordning

Evaluated by the lecturer

Gjennomføring av kontinuasjon

Ordinary re-sit examination

Tillatte hjelpemidler (gjelder kun skriftlig eksamen)

Calculator, dictionary

Obligatoriske arbeidskrav

None

Læremidler

  Obligatory literature:
 None.
 

Recommended literature:

 1. Rebecca Gurley Bace, Intrusion Detection, Macmillan, 2000.
 2. Jack Koziol, Intrusion Detection with SNORT, SAMS, 2003.
 3. David J. Marchette, Computer Intrusion Detection and Network Monitoring - A Statistical Viewpoint, Springer Verlag, 2001.
 4. Richard Bejtlich, Extrusion Detection - Security Monitoring for Internal Intrusions, Addison-Wesley, 2005.
 5. Stephen Northcutt, Judy Novak, Network Intrusion Detection, 3rd edition, New Riders, 2003.
 

Erstatter

IMT5151 - Intrusion detection and prevention

Supplerende opplysninger

In case there will be less than 5 students that will apply for the course, it will be at the discretion of Studieprogramansvarlig whether the course will be offered or not and if yes, in which form.