By Dr Nan Sun

Journal articles

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

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

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

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

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

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

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

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

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

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, 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

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

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

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

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

Preprints

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

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

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