Dr Nan Sun

Dr Nan Sun

UNSW Canberra
School of Engineering & IT

Dr Nan Sun received her PhD degree in Information Technology from Deakin University. She is currently a lecturer with the School of Engineering and Information Technology at the University of New South Wales, Canberra. Before joining UNSW, she was a Research Fellow in the Centre for Cyber Security Research and Innovation (CSRI) at Deakin University and worked on the project - Development of Australian Cyber Criteria Assessment (DACCA). Her research focuses on cyber security, including data-driven cybersecurity incidents prediction, visualization and discovery through data analytics and machine learning techniques. Dr Sun is conducting interdisciplinary research between cybersecurity and artificial intelligence (AI), applying AI for cybersecurity. She is also passionate about designing systems to help with users’ cybersecurity awareness education and cyber information retrieval.

* Scholarships of $35,000 (AUD) are available for PhD students who achieved UNSW High Distinction (H1) or equivalent in their undergraduate program and/or have completed a Masters by Research. If you are interested, contact me at nan.sun@adfa.edu.au.



+61 2 5114 5329
Building 26, Room 117
  • Journal articles | 2023
    Sun N; Ding M; Jiang J; Xu W; Mo X; Tai Y; Zhang J, 2023, 'Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives', IEEE Communications Surveys & Tutorials, pp. 1 - 1, http://dx.doi.org/10.1109/comst.2023.3273282
    Journal articles | 2023
    2023, 'Cyber Information Retrieval Through Pragmatics Understanding and Visualization', IEEE Transactions on Dependable and Secure Computing, 20, pp. 1186 - 1199, http://dx.doi.org/10.1109/TDSC.2022.3151148
    Journal articles | 2023
    2023, 'On the Development of a Protection Profile Module for Encryption Key Management Components', IEEE Access, 11, pp. 9113 - 9121, http://dx.doi.org/10.1109/ACCESS.2023.3239043
    Journal articles | 2022
    2022, 'Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges', IEEE Access, 10, pp. 44756 - 44777, http://dx.doi.org/10.1109/ACCESS.2022.3168716
    Journal articles | 2022
    2022, 'How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond', IEEE Access, 10, pp. 71749 - 71763, http://dx.doi.org/10.1109/ACCESS.2022.3187211
    Journal articles | 2022
    2022, 'Near real-time twitter spam detection with machine learning techniques', International Journal of Computers and Applications, 44, pp. 338 - 348, http://dx.doi.org/10.1080/1206212X.2020.1751387
    Journal articles | 2019
    2019, 'Data-Driven Cybersecurity Incident Prediction: A Survey', IEEE Communications Surveys and Tutorials, 21, pp. 1744 - 1772, http://dx.doi.org/10.1109/COMST.2018.2885561
    Journal articles | 2017
    Lin G; Sun N; Nepal S; Zhang J; Xiang Y; Hassan H, 2017, 'Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability', IEEE Access, 5, pp. 11142 - 11154, http://dx.doi.org/10.1109/ACCESS.2017.2710540
  • Conference Papers | 2022
    2022, 'Advanced Face Anti-Spoofing with Depth Segmentation', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2022 International Joint Conference on Neural Networks (IJCNN), 18 July 2022 - 23 July 2022, http://dx.doi.org/10.1109/IJCNN55064.2022.9892826
    Conference Papers | 2022
    2022, 'Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos', in Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022, IEEE, presented at 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 13 October 2022 - 16 October 2022, http://dx.doi.org/10.1109/DSAA54385.2022.10032370
    Conference Papers | 2022
    2022, 'Towards Generalized Deepfake Detection With Continual Learning On Limited New Data', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034569
    Conference Papers | 2021
    2021, 'My security: An interactive search engine for cybersecurity', in Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, pp. 6206 - 6215, presented at Hawaii International Conference on System Sciences, http://dx.doi.org/10.24251/hicss.2021.749
    Conference Papers | 2020
    2020, 'Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence', in Kutylowski M; Zhang J; Chen C (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), SPRINGER INTERNATIONAL PUBLISHING AG, ELECTR NETWORK, pp. 3 - 21, presented at 14th International Conference on Network and System Security (NSS), ELECTR NETWORK, 25 November 2020 - 27 November 2020, http://dx.doi.org/10.1007/978-3-030-65745-1_1

My Teaching

ZEIT 8030, Big Data and Decision Analytics for Security, 2022, S2

ZEIT 3010, IT Project 2, 2022, S2