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  7. IMT6061 Risk Management II

Risk Management II
Study plans 2016-2017 - IMT6061 - 5 ECTS

Prerequisite(s)

 IMT6111 

Expected learning outcomes

The course contributes towards the following learning outcomes:

Knowledge:

  • Knows state of the art on key aspects of Risk Management relevant to Information Security.
  • Is able to judge to what extent a particular method for Risk Analysis is appropriate for a given problem.

Skills:

  • Can formulate research challenges in relation to Information Security Risk  Management
  • Can challenge established practises in the field of Information Security Risk Management

General competence

  • Can participate in international discussions on the subject of Information Security Risk Management

Topic(s)

  •  Classifications of Risk Management methods
  •  Examples of Risk Management Methods.
  •  Decission theory
  •  Risk, Threat and vulnerability discovery
  •  Uncertainty
  •  Game theory

Teaching Methods

Lectures
Exercises

Form(s) of Assessment

Oral exam, individually
Evaluation of Project(s)

Form(s) of Assessment (additional text)

  •  Project(s)
  •  Oral exam (individual)
  •  Both parts must be passed

The students are required to hand in their own report(s).

Grading Scale

Pass/Failure

External/internal examiner

Evaluated by external and internal examiner.

Re-sit examination

The whole subject must be repeated.

Examination support

Approved calculator

Coursework Requirements

Draft project report including scenario suitable as a basis for the other chapters.  The draft report must be submitted via Fronter within 10 days of the first lecture. 

Teaching Materials

Books, articles and WEB resources such as

RA method classification   

Douglas J. Landoll. The security risk assessment handbook, p. 8-15. CRC. 2005.

Bornman, G, and Labuschagne, L, 2004, A comparative framework for evaluating information security risk management methods, In proceedings of the Information Security South Africa Conference. 2004, www.infosecsa.co.za

Vorster, A. and Labuschagne, L. 2005. A framework for comparing different information security risk analysis methodologies. In Proceedings of the 2005 Annual Research Conference of the South African institute of Computer Scientists and information Technologists on IT Research in Developing Countries (White River, South Africa, September 20 - 22, 2005). ACM International Conference Proceeding Series, vol. 150. South African Institute for Computer Scientists and Information Technologists, 95-103.

ENISA. Inventory of risk assessment and risk management methods. Deliverable 1, Final version Version 1.0, 0/03/2006

Campbell and Stamp. A classification scheme for Risk Assessment Methods. Sandia Report. SAND2004-4233.

RA method examples   

IDART (http://www.idart.sandia.gov/method.html)

NIST SP 800-42, p3.1 - 3.21, 4.1- 4.3, C.1-C.9

NIST SP 800-30. p8-27

OECD, “OECD Guidelines for the Security of Information Systems and Networks -- Towards a Culture of Security.” Paris: OECD. July 2002. www.oecd.org. P 10-12

ISO/IEC 27005:2008(E) Information technology - Security techniqueues - Information security risk management

Decision theory   

Sven Ove Hansson. Decision Theory - A brief introduction. 2005

http://en.wikipedia.org/wiki/Newcomb%27s_paradox  

http://en.wikipedia.org/wiki/St_Petersburg_Paradox  

Sven Ove Hansson. Fallacies of Risk

Risk Threat and Vulnerability discovery   

ISO 27005, Annex C,D

Ed Yourdon. Just enough Structured Analysis. Chapter 9, Dataflow diagrams. + 'How to'.

The vulnerability assessment and mitigation methodology. Chapter 1-4, p. 1-36. MITRE technical report..

Uncertainty   

Lindley, Dennis V. (2006-09-11). Understanding Uncertainty. Wiley-Interscience. ISBN 978-0470043837

H. Campbell. Risk assessment: subjective or objective? Engineering science and education journal, 7:57 -63, 1998.

F. Redmill. Risk analysis-a subjective process? Engineering Management Journal. Apr 2002. Volume: 12, Issue: 2. p. 91-96

Game theory   

Stanford Encyclopedia of Philosophy . Game theory. Available from http://plato.stanford.edu/entries/game-theory/

Fudenberg, Drew & Tirole, Jean (1991), Game theory, MIT Press, ISBN 978-0-262-06141-4 , Chapters 1,3,6,8

Additional information

There is room for 50 students for the course.