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
Before FIT3185
Prerequisites
Pass these before you enrol.
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
Define the fundamental concepts of privacy-enhancing technologies, including differential privacy, post-quantum cryptography, zero-knowledge proofs, and secure multiparty computation
- 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
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
Be familiar with and assess zero-knowledge proofs to enhance privacy of applications such as secure authentication and verification processes.
- 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
Perform impact and risk assessment to provide responsible expert advice on (Australian) privacy policies, procedures and governance incorporating ethical considerations.
- 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
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.