Alireza Jolfaei


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Personal profile


Alireza Jolfaei received his Ph.D. degree in Applied Cryptography from Griffith University, Gold Coast, Australia. He is a Lecturer in Cyber Security at Macquarie University, Sydney, Australia. Prior to this appointment, he worked as a Lecturer at Federation University Australia and an Assistant Professor at Temple University in Philadelphia, USA. His current research areas include Cyber Security, IoT Security, Human-in-the-Loop CPS Security, Cryptography, AI and Machine Learning for Cyber Security. He has authored over 50 peer-reviewed articles on topics related to cybersecurity. He has received multiple awards for Academic Excellence, University Contribution, and Inclusion and Diversity Support. He received the prestigious IEEE Australian council award for his research paper published in the IEEE Transactions on Information Forensics and Security. He received a recognition diploma with a cash award from the IEEE Industrial Electronics Society for his publication at the 2019 IEEE IES International Conference on Industrial Technology. He is a founding member of IEEE Northern Territory Section and Federation University IEEE Student Branch. He served as a Chairman of Computational Intelligence Society in IEEE Victoria Section and as a Chairman of Professional and Career Activities for IEEE Queensland Section. He has served as a guest associate editor in IEEE journals and transactions, including IEEE IoT Journal, IEEE Transactions on Industrial Applications, and IEEE Transactions on Intelligent Transportation Systems. He has served over 10 conferences in leadership capacities including program co-Chair, track Chair, session Chair, and Technical Program Committee member, including IEEE TrustCom and DependSys. He is a Senior Member of the IEEE.


Alireza has research collaborations with peers from academia and industry on the topics of Smart Grid Security, Intelligent Transportation Systems Security, Privacy-Preserving Edge Computing, Trustworthy Machine Learning, and the Usable Security for Mixed Realities.

Education/Academic qualification

Applied Cryptography, PhD, Griffith University

Jun 2012Jun 2016

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Research Outputs 2010 2019

A 3D object encryption scheme which maintains dimensional and spatial stability

Jolfaei, A., Wu, X-W. & Muthukkumarasamy, V., 2015, In : IEEE Transactions on Information Forensics and Security. 10, 2, p. 409-422 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Surface reconstruction

On the security of permutation-only image encryption schemes

Jolfaei, A., Wu, X. & Muthukkumarasamy, V., Feb 2016, In : IEEE Transactions on Information Forensics and Security. 11, 2, p. 235-246 12 p.

Research output: Contribution to journalArticleResearchpeer-review


A lightweight integrity protection scheme for low latency smart grid applications

Jolfaei, A. & Kant, K., 1 Sep 2019, In : Computers and Security. 86, p. 471-483 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Phasor measurement units
Electric potential
Time measurement

Cybersecurity indexes for eHealth

Burke, W., Oseni, T., Jolfaei, A. & Gondal, I., 29 Jan 2019, ACSW 2019 Proceedings of the Australasian Computer Science Week Multiconference . New York: ACM Press, p. 1-8 8 p. a17

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

health industry
security sector

DBD: deep learning DGA-based botnet detection

Vinayakumar, R., Soman, K. P., Poornachandran, P., Alazab, M. & Jolfaei, A., Aug 2019, Deep learning applications for cyber security. Alazab, M. & Tang, M. (eds.). Switzerland: Springer, p. 127-149 23 p. (Advanced Sciences and Technologies for Security Applications).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Reverse engineering
Deep learning