Privacy Preserving Technologies and Data Security

Privacy Preserving Technologies and Data Security


Science and Engineering

Project Name

Privacy Preserving Technologies and Data Security

Project Description

Organisations have to ensure appropriate security measures are taken to protect their data and safely store, process and use personal information without breaching individuals' privacy. Ensuring data security and Privacy is also an enabler for businesses collaboration. In particular, providing solutions for sharing data and being capable of securely generating privacy preserving insights is a catalyser for Cyber Security solutions. Perhaps more importantly and more reflective of the privacy threats consequences, the relationship between privacy and cyber security risks has been overlooked while access to personal information and inference capabilities of attackers has been always a driving force of cyber criminals and involves several threats ranging from identity theft to transactional frauds and sensitive industrial data exfiltration. This project aims to investigate and explore approaches to enable the effective use of data by considering the tradeoff between privacy guarantees, utility and security threats. In the process of building solutions that are compliant to Privacy regulations, special attention should be taken to quantify and understand privacy threats, both theoretically and empirically through real life data analysis including but not limited to mobile platforms, web technologies, Edge-computing and Internet of Things.

Other important information

Successful candidates are expected to have expertise and or prior experience in one or many of the following areas: Machine Learning, Web and Mobile systems Measurement, Data science, Applied Cryptography, Information Theory, Statistics.


Prof. Dali Kaafar

This scholarship is available to eligible candidates to undertake either:

  • Research Training Pathway MRes Year 2 followed by a 3 year PhD. This is referred to as an MRes/PhD ‘bundle offer’
  • Direct entry into a 3 year PhD program.

The scholarship is comprised of a Tuition Fee Offset and a Living Allowance Stipend. The value and tenure of the scholarship is:

  • MRes/PhD ‘bundle offer’: Tuition Fee Offset and “MQRES MRES” Year 2 full-time stipend rate is $27,082 per annum (in 2018 tax exempt for up to 3 years - indexed annually).
  • Direct entry into a PhD: Tuition Fee Offset and “MQRES” full-time stipend rate is $27,082 per annum (in 2018 tax exempt for up to 3 years - indexed annually)

Applicants will need to complete a HDR Candidature and Scholarship Application Form via the Online Application System and arrange for two academic referee reports to be submitted to the Higher Degree Research Office. Further information can be found on the How to Apply page.

To be eligible for a scholarship, applicants are expected to have a record of excellent academic performance and preferably, additional relevant research experience and/or peer-reviewed research activity in line with the University’s scholarship rating guidelines. Refer to the Rating Scholarship Applicants section for more information about these guidelines.

Macquarie University will advise the successful applicant of entitlements at the time of scholarship offer.

Please quote the allocation number on your application.

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