Expected learning outcomes
Having completed the course, the student should have
- the ability to derive and apply modelling techniques used for secure computer systems and reasoning about them
- in-depth knowledge of selected access control mechanisms and their mathematical foundations as well as an in-depth understanding of identification and authentication mechanisms
- obtained a solid understanding of security analysis and developmental assurance techniques and issues
- Identification and authentication mechanisms including biometrics
- Access control models and formalisms
- Decidability results and limitations of access control and security models
- Security models including the Bell-LaPadula, RBAC, and Chinese Wall models
- Information-theoretic models of information flow and covert channels
- Developmental assurance and evaluation criteria
Teaching Methods (additional text)
- Term paper
Form(s) of Assessment
Form(s) of Assessment (additional text)
Term paper. Ph.D. students must pass the written examination with at least an A or B grade, but will be evaluated mainly on the term paper, which is assessed to different, more stringent criteria than the M.Sc. version.
- Written exam (alternatively oral exam): 33%
- Term paper: 67%
- Ph.D. students must pass both parts and pass with A or B on the written exam.
Evaluated by external and internal examiner.
A new term paper must be provided and the examination must be re-sat next autumn.
Dictionary, simple calculator
The following textbooks are the primary references; further recommended reading is provided in the course syllabus.
- M. Bishop: Computer Security: Art and Science. Addison-Wesley, 2003.
- D. Gollmann: Computer Security, 2nd edition Wiley, 2006
Capacity of the course is limited to 50 students unless explicitly arranged by lecturer.