UnitLevel 3Undergraduate

FIT3185 Privacy enhancing technologies

Faculty of Information Technology

FIT3185 Privacy enhancing technologies is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology. It isn't offered in 2026. It needs FIT1093 and FIT2014.

Credit points
6
Offered in 2026
Not offered
Workload
144 hours
per semester

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

After FIT3185

No unit lists FIT3185 as a prerequisite in the 2026 handbook.

Overview

This unit encompasses a progression from foundational knowledge and comprehension to practical application, analysis, synthesis, and evaluation of advanced vulnerability analysis and mitigation techniques in the context of cloud security, operating systems security, reverse engineering, and side-channel analysis and mitigations.

Offerings in 2026

The 2026 handbook lists no offerings for FIT3185.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Define the fundamental concepts of privacy-enhancing technologies, including differential privacy, post-quantum cryptography, zero-knowledge proofs, and secure multiparty computation

  2. 2

    Apply the principles of differential privacy to design privacy-preserving data collection and analysis techniques, ensuring that sensitive information remains confidential while maintaining data utility.

  3. 3

    Understand and evaluate post-quantum cryptographic algorithms in real-world scenarios to protect data and communications against potential quantum threats, showcasing proficiency in encryption and digital signatures.

  4. 4

    Be familiar with and assess zero-knowledge proofs to enhance privacy of applications such as secure authentication and verification processes.

  5. 5

    Create and analyse practical applications of secure multiparty computation, allowing multiple parties to jointly compute results while preserving the privacy of their inputs.

  6. 6

    Perform impact and risk assessment to provide responsible expert advice on (Australian) privacy policies, procedures and governance incorporating ethical considerations.

  7. 7

    Design and construct privacy-preserving algorithms and solutions by combining multiple privacy-enhancing technologies, demonstrating innovation in solving real-world privacy challenges.

Workload and teaching

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.

Where it fits

FIT3185 is part of 4 areas of study in the 2026 handbook.

Common questions

What are the prerequisites for FIT3185?

You need FIT1093 and FIT2014 before you enrol.

When is FIT3185 offered?

FIT3185 has no offerings listed in the 2026 handbook.

How much work is FIT3185?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Which majors and minors include FIT3185?

FIT3185 is part of Computational science, Cybersecurity and Software engineering.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
202520262027