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FIT3183 · Malicious AI and dark side security

Official Handbook

2026 Handbook6 credit pointsLevel 3Faculty of Information Technology

Last checked: 23 Aug 2026 UTC

Overview

In this unit you will learn first-hand some of the required skills of a Chief Security Officer. You will be exposed to the latest technologies deployed by attackers against AI and security, and mechanisms to counter these malicious activities. This unit gives you the opportunity to engage in role-playing case studies wherein you will be required to participate against other students in a security warfare: security vs anti-security technologies, such as, deepfakes vs anti-deepfakes, forensics vs counter forensics.

Offerings

CampusTeaching periodMode
MalaysiaSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
1Assignment Milestone 1Written2%Threshold
2Assignment Milestone 2Project8%Threshold
3Assignment Milestone 3Project20%Threshold
4Assignment Milestone 4Written10%Threshold
5Scheduled final assessment (2 hours and 10 mins)Examination60%Threshold

This unit has threshold mark hurdles. You must achieve at least 45% of the available marks in the final scheduled assessment, at least 45% in total for in-semester assessments, and an overall unit mark of 50% or more to be able to pass the unit. If you do not achieve the threshold mark, you will receive a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

  • FIT1047 — Introduction to computer systems, networks and security
  • FIT2004 — Algorithms and data structures

Joined by AND.

Learning outcomes

  1. identify and evaluate malicious technologies deployed by attackers against AI and security such as adversarial machine learning, deepfakes, ransomware, kleptography, cryptovirology, covert exfiltration, anti-forensics, subversion.
  2. implement counter-anti-security technologies to combat the anti-security techniques deployed by attackers.
  3. design and deploy security or anti-security techniques in real-world situations.
  4. critically assess the level of security offered by existing AI and security systems.
  5. explain the ethical principles between the dark side and cybersecurity for social good.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

ActivityDuration
Laboratories24 hours
Lectures24 hours

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