Intrusion detection and prevention

1. Definition and classification of IDS systems2. Basic elements of attacks against data networks and their detection3. Misuse-based IDS4. Anomaly-based IDS5. Testing IDS and measuring their performances

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.

Forelesninger|Lab.øvelser|Oppgaveløsning|Prosjektarbeid

Utfyllende informasjon:

LecturesLaboratory exercisesNumerical exercisesProject workThe course will be made accessible to both campus and remote students. Every student is free to choose the pedagogic arrangement form that is best fitted for her/his own requirement. The lectures in the course will be given on campus and are open for both categories of students. All the lectures will also be available on Internet through the learning management system (ClassFronter).

Obligatoriske arbeidskrav:

None