Back to
Dr Nan Sun

Dr Nan Sun

Lecturer
UNSW Canberra
School of Systems & Computing

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.

 

 
Phone
+61 2 5114 5329
E-mail
nan.sun@adfa.edu.au
Location
Building 15, Room 119
  • 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 and Tutorials, 25, pp. 1748 - 1774, http://dx.doi.org/10.1109/COMST.2023.3273282
    Journal articles | 2023
    Sun N; Li CT; Chan H; Islam MZ; Islam MR; Armstrong W, 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 | 2023
    Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 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 | 2022
    Sun N; Li CT; Chan H; Dung Le B; Islam MZ; Zhang LY; Islam MR; Armstrong W, 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
    Sun N; Li CT; Chan H; Islam MZ; Islam MR; Armstrong W, 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
    Sun N; Lin G; Qiu J; Rimba P, 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
    Sun N; Zhang J; Rimba P; Gao S; Zhang LY; Xiang Y, 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 | 2024
    Chang Y-T; Hu Z; Li X; Yang S; Jiang J; Sun N, 2024, 'DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 197 - 206, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679675
    Conference Papers | 2024
    Mo X; Zhang Y; Zhang LY; Luo W; Sun N; Hu S; Gao S; Xiang Y, 2024, 'Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics', in Proceedings - IEEE Symposium on Security and Privacy, pp. 2048 - 2066, http://dx.doi.org/10.1109/SP54263.2024.00174
    Conference Papers | 2024
    Wang M; Boshuijzen-van Burken C; Sun N; Kasra Kermanshahi S; Zhang Y; Hu J, 2024, 'VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation', Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00271
    Conference Papers | 2023
    Mo X; Zhang LY; Sun N; Luo W; Gao S, 2023, 'Backdoor Attack on Deep Neural Networks in Perception Domain', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191661
    Conference Papers | 2022
    Huang H; Sun N; Lin X; Moustafa N, 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, pp. 1 - 7, 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 | 2022
    Huang H; Sun N; Lin X, 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, http://dx.doi.org/10.1109/DSAA54385.2022.10032370
    Preprints | 2022
    Sun N; Li C-T; Chan H; Islam MZ; Islam MR; Armstrong W, 2022, How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond, http://dx.doi.org/10.1109/ACCESS.2022.3187211
    Preprints | 2022
    Sun N; Li C-T; Chan H; Le BD; Islam MDZ; Zhang LY; Islam MDR; Armstrong W, 2022, Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges, http://dx.doi.org/10.1109/ACCESS.2022.3168716
    Conference Papers | 2022
    Zhang L; Sun N; Wu X; Luo D, 2022, 'Advanced Face Anti-Spoofing with Depth Segmentation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892826
    Conference Papers | 2021
    Sun N; Gao S; Zhang LY; Camtepe S; Zhang J; Xiang Y, 2021, 'My security: An interactive search engine for cybersecurity', in Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 6206 - 6215
    Conference Papers | 2020
    Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 2020, 'Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 3 - 21, http://dx.doi.org/10.1007/978-3-030-65745-1_1

Defence against Fake Cyber Threat Intelligence through Deep Learning, UNSW AI Seed funding, Lead CI, $30,000, 2022

Ethically Aligned AI Cyberbullying Detection Tools, UNSW Rapid Research Funding, CI, $23,110 AUD, 2023

Building Resilience to Power and Energy Systems under Cyber-Related Disasters, UNSW Rapid Research Funding, CI, $19,173, 2023

Towards Understandable, Robust and Actionable Cybersecurity Information Retrieval, UNSW Recruitment Research Proposal (RRP) Grant, Lead CI, $30,000, 2023

Microgrid Security Testbed, UNSW Research Infrastructure Scheme, CI, $33,107, 2023 

Swarm Metaverse Infrastructure, UNSW Faculty Infrastructure Scheme, CI, $102,000, 2024

 

 

My Teaching

ZEIT 8030, Big Data and Decision Analytics for Security, 2022, S2; 2023, S2

ZEIT 3010, IT Project 2, 2022, S2; 2023, S2

ZEIT 3103, Digital Forensics, 2023, S1

ZEIT 8028, Digital Forensics, 2023, S1, S2