Malware Analysis

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.

Unit learning outcomes

On successful completion of this unit students will be able to:

1. Identify and classify malware based on its characteristics and behaviour
2. Apply malware analysis methodologies to investigate malware samples
3. Setup and perform malware analysis in a safe environment
4. Apply industry standards for malware classification and reporting
5. Research and critically evaluate relevant literature using AI tools

Teaching methods

Hawthorn

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

Graduate Attribute – Digital Literacies: Information literacy

Graduate Attribute – Digital Literacies: Technical literacy