Nan Sun

Interim Admission and Scholarship Coordinator
Lecturer

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.

 

 

Conference Papers
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Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 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, presented at Hawaii International Conference on System Sciences, http://dx.doi.org/10.24251/hicss.2021.749
2021
Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 2020, 'Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence', in Kutylowski M; Zhang J; Chen C (eds.), NETWORK AND SYSTEM SECURITY, NSS 2020, 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
2020
Journal articles
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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, vol. 10, pp. 71749 - 71763, http://dx.doi.org/10.1109/ACCESS.2022.3187211
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, vol. 44, pp. 338 - 348, http://dx.doi.org/10.1080/1206212x.2020.1751387
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, vol. 10, pp. 44756 - 44777, http://dx.doi.org/10.1109/ACCESS.2022.3168716
2022
Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 2022, 'Cyber Information Retrieval Through Pragmatics Understanding and Visualization', IEEE Transactions on Dependable and Secure Computing, http://dx.doi.org/10.1109/TDSC.2022.3151148
2022
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, vol. 21, pp. 1744 - 1772, http://dx.doi.org/10.1109/COMST.2018.2885561
2019
Lin G; Sun N; Nepal S; Zhang J; Xiang Y; Hassan H, 2017, 'Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability', IEEE Access, vol. 5, pp. 11142 - 11154, http://dx.doi.org/10.1109/ACCESS.2017.2710540
2017

Defence against Fake Cyber Threat Intelligence through Deep Learning: 2022-2023, UNSW AI Seed Funding; Leading Chief Investigator; Grant: AU$30,000;