Malware Analysis
24 hours face to face + Blended
One Semester or equivalent
Online, Hawthorn
Overview
This unit introduces students to various malware and their characteristics in an in-depth manner. Students will learn about the malware analysis methodology and the tools that assist with malware analysis.
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Teaching Period 3
Location
Online
Start and end dates
04-November-2024
09-February-2025
09-February-2025
Last self-enrolment date
17-November-2024
Census date
29-November-2024
Last withdraw without fail date
27-December-2024
Results released date
04-March-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Identify malware and their characteristics
- Explain the methodology in malware analysis
- Apply the tools and technologies used in malware analysis
- Perform malware analysis in a safe environment
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
On-campus Lecture | 1.00 | 12 weeks | 12 |
On-campus Class | 2.00 | 12 weeks | 24 |
Unspecified Activities Independent Learning | 9.50 | 12 weeks | 114 |
TOTAL | 150 |
Swinburne Online
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Online Directed Online Learning and Independent Learning | 12.50 | 12 weeks | 150 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Examination | Individual | 50 - 0% | 1,2,3 |
Laboratory Report | Individual | 20 - 0% | 1,3,4 |
Test | Group | 30 - 0% | 1,3,4 |
Content
- Malware overview
- Malware types
- Traditional (virus, worm, logic bomb, trojan horse)
- Autonomous (adware, rootkit, bootkit, spyware)
- Remote-controlled (ransomware, bots, backdoor)
- Malware analysis types: static, dynamic
- Malware analysis methodology and tools
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.