Malware Analysis
24 hours face to face + Blended
One Semester or equivalent
Online, Hawthorn
Available to incoming Study Abroad and Exchange students
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. They also learn how to classify and report malware. In addition, they will learn about attack frameworks to secure the system against malware attacks.
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
04-August-2025
02-November-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
Teaching Period 1
Location
Online
Start and end dates
09-March-2026
07-June-2026
07-June-2026
Last self-enrolment date
22-March-2026
Census date
07-April-2026
Last withdraw without fail date
28-April-2026
Results released date
30-June-2026
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026
Teaching Period 3
Location
Online
Start and end dates
02-November-2026
07-February-2027
07-February-2027
Last self-enrolment date
15-November-2026
Census date
01-December-2026
Last withdraw without fail date
22-December-2026
Results released date
02-March-2027
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
- Understand and implement industry standards for malware classification and reporting
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 |
| Online Lecture |
1.00 | 12 weeks | 12 |
| Unspecified Activities Independent Learning |
8.50 | 12 weeks | 102 |
| 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 |
|---|---|---|---|
| Assignment 1 | Individual | 10 - 25% | 1,2,3,4 |
| Assignment 2 | Individual/Group | 25 - 50% | 1,2,3,4,5 |
| Quizzes | Individual | 5 - 20% | 1,2,3,4,5 |
| Laboratory Report | Individual | 10 - 20% | 1,3,4 |
| Test | Individual | 10 - 30% | 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
- Attack frameworks and how to secure systems against malware attacks
- Industry standards for malware classification and reporting
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.