Course content

• Malware methodology
• Basic analysis
• Advanced static analysis
• Advanced Dynamic analysis
• Anonymous and stealthy analysis
• Malware classification and functionality
• Anti Reverse-engineering
• Malware lab

Learning outcome

Knowledge:

• The candidate possess knowledge of methodology, technology and application of malware analysis and reverse engineering
• The candidate possess thorough knowledge of anonymous analysis
• The candidate possess advanced knowledge of static malware analysis
• The candidate possess advanced knowledge of dynamic malware analysis
• The candidate possess thorough knowledge of malware classification and functionality
• The candidate possess knowledge of anti-reverse engineering techniques
• The candidate possess thorough knowledge of building and using a malware lab

Skills:

• The candidate is capable of applying malware analysis methodology and technology
• The candidate is capable of applying advanced static malware analysis
• The candidate is capable of applying advanced dynamic malware analysis
• The candidate is able to identify basic and some advanced malware functionality
• The candidate is able to identify known anti-reverse engineering techniques
• The candidate is able to conduct an analysis without revealing that the investigation is taking place and/or revealing their identity.

General competence:

• The candidate is capable of analyzing relevant professional and research problems in malware analysis
• The candidate is capable of applying their knowledge and skills in new fields, in order to accomplish advanced task and projects in malware analysis
• The candidate is capable of working independently as a malware analyst and is familiar with terminology.
• The candidate is capable of discussing professional problems, analysis and conclusions in the field of malware analysis, both with professionals and with general audience
• The candidate has the learning skills to continue acquiring new knowledge and skills in a largely self-directed manner
• The candidate is capable of contributing to innovation and innovation processes

Learning methods and activities

• Lectures,
• Lab work,
• E-learning,
• Compulsory assignment.

There will be one mandatory assignement ("oblig") and this must be approved in order to take the exam. Students will have to read and provide feedback on each other's assignent. "Peer review" will be used and the final approvement (approved/not approved) will be done by staff. Further details will be given in NTNU's Learning Management System (Canvas).

Compulsory assignments

• Peer-review assignment
• Coursework Requirements

Specific conditions

Recommended previous knowledge

Knowledge of windows OS and basic programming skills and assembly is an advantage.

Laboratory activities will involve analyzing and handling malicious code on your computer system. Virtual machines and due caution will be used, but it is nevertheless not recommended to use your organizations laptop in laboratory activity.

Course materials

Books/standards, conference/journal papers and web resources,

• M.Sikorski and A. Honig: Practical Malware Analysis, The hands on guide to dissecting Malicious Software

Syllabus

Link to reading list in Leganto

Credit reductions