UC3EMA05 Malware Analysis

UC3EMA05 Malware Analysis

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Digital Forensics and Incident Response
    • ECTS
      05
    • Campus
      Kristiansand, OnlinePLUS - Oslo, Online
    • Course Leader
      Emlyn Butterfield
Introduction

Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.

Included in the following bachelor's degrees:

  • Digital Forensics and Incident Management
Course Aim(s)

The course aims to provide students with the core concepts on malware analysis through the practical application of tools and techniques to detect, analyse and remediate against the threats.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 the characteristics of malware.
K2 the analysis of malicious code and reverse engineering.
Skills

The student gain skills in

S1 the techniques used to isolate an infected system.
S2 building an isolated and controlled environment for the analysis of code and behaviour of malware.
S3 deriving indicators of compromise from a piece of malware that can strengthen the defence against the malware.
General Competence

The student can demonstrate

G1 the ability to communicate ideas and concepts.
G2 research of new situations.
Course Topics
  • Identification of malware
  • Investigation and analysis of malware
  • Techniques for defence and recovery from malware attacks
  • Automation of malware analysis
Teaching Methods
  1. Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
Resources and Equipment
  1. Learning resources are available in the LMS and include, but is not limited to:
    • literature and online reading material (essential and recommended)
    • streams, recordings and other digital resources, where applicable
    • video conferencing and communication platforms, if applicable
    • tools, software and libraries, where applicable
  2. Students must have access to an internet connection, and suitable hardware.
    • Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
  3. Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
Prerequisite Knowledge
Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

125 nominal hours.
Study workload applies to both Campus and Online students.

ActivityDuration
Teacher-led activity
12
Teacher-supported work
24
Self-study
89