By Dr Nan Sun

Book Chapters

Li X; Sun N; Jiang J, 2026, 'Harnessing Large Language Models for Real-Time Cyber Threat Detection and Response: A Comprehensive Survey', in , pp. 414 - 430, http://dx.doi.org/10.1007/978-981-92-3015-0_19

Dilini N; Sun N; Miao Y; Moustafa N, 2026, 'ST-Attention-XAI: Intrinsic Spatio-Temporal Explainability for IoT Intrusion Detection via Attention Analysis', in , pp. 388 - 413, http://dx.doi.org/10.1007/978-981-92-3015-0_18

Ni Z; Dong J; He R; Sun N; Susilo W; Nepal S; Ma S, 2026, 'Shape Before You Build: Secure Cryptographic Code Generation via Prompt Optimization', in IFIP Advances in Information and Communication Technology, Springer Nature Switzerland, pp. 166 - 181, http://dx.doi.org/10.1007/978-3-032-27993-4_12

Sun N; Miao Y; Mo X; Zhang J, 2025, 'Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions', in , pp. 3 - 20, http://dx.doi.org/10.1007/978-981-96-8295-9_1

Journal articles

Chen Y; Sun N; Xue J, 2027, 'Towards trustworthy LLM-assisted EPD comparability assessment for circular construction materials', Environmental Impact Assessment Review, 122, http://dx.doi.org/10.1016/j.eiar.2026.108606

Dong H; Escobedo-Diaz JP; Hazell PJ; Sun N; Wang H, 2026, 'Analytic design of multi-material auxetic structures with tailored mechanical performance', Advanced Composites and Hybrid Materials, 9, http://dx.doi.org/10.1007/s42114-026-01848-x

Dilini N; Sun N; Miao Y; Moustafa N, 2026, 'A Comprehensive Review on Graph-Based Anomaly Detection: Approaches for Intrusion Detection', Applied Sciences Switzerland, 16, http://dx.doi.org/10.3390/app16041906

Guo X; Chen Y; Sun N, 2025, 'Robust Pavement Modulus Prediction Using Time-Structured Deep Models and Perturbation-Based Evaluation on FWD Data', Sensors, 25, pp. 5222 - 5222, http://dx.doi.org/10.3390/s25175222

Huang H; Deng D; Hu L; Chen Y; Sun N, 2025, 'Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting', Remote Sensing, 17, http://dx.doi.org/10.3390/rs17152675

He H; Sun N; Tani Bertuol M; Zhang Y; Jiang J; Jha S, 2025, 'Can LLM-Generated Misinformation Be Detected: A Study On Cyber Threat Intelligence', Future generations computer systems, 173, pp. 107877 - 107877, http://dx.doi.org/10.1016/j.future.2025.107877

Dong H; Wang H; Hazell PJ; Sun N; Dura HB; Escobedo-Diaz JP, 2025, 'Effects of printing parameters on the quasi-static and dynamic compression behaviour of 3D-printed re-entrant auxetic structures', Thin Walled Structures, 210, http://dx.doi.org/10.1016/j.tws.2025.113000

Deng D; Huang H; Hu L; Sun N, 2025, 'Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks', Remote Sensing, http://dx.doi.org/10.3390/rs17040583

Huang H; Deng D; Hu L; Sun N, 2025, 'Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks', Remote Sensing, http://dx.doi.org/10.3390/rs17040583

Qu Y; Ding M; Sun N; Thilakarathna K; Zhu T; Niyato D, 2025, 'The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models', Computer, 58, pp. 45 - 57, http://dx.doi.org/10.1109/MC.2024.3405397

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

Wu Z; Yang Z; Jiang J; Yang S; Sun N, 2026, 'DagFC: Dependency-Aware Fact-Checking via Claim-Constructed Knowledge Graphs and Large Language Models', in Wsdm 2026 Proceedings of the 19th ACM International Conference on Web Search and Data Mining, pp. 745 - 755, http://dx.doi.org/10.1145/3773966.3777966

Huang H; Sun N; Tani Bertuol M; Zhang Y; Jiang J; Jha S, 2026, 'Unmasking Disinformation: Enhancing Cyber Threat Intelligence through Crowdsourced Analysis and AI-Driven Training', in Proceedings of the 59th Hawaii International Conference on System Sciences, Hawaii, presented at 59th Hawaii International Conference on System Sciences (HICSS-59), Hawaii, 06 January 2026 - 09 January 2026, http://dx.doi.org/10.24251/HICSS.2026.743

Han S; Tan T; Miao Y; Chen X; Sun N, 2026, 'Prompting Instability: An Empirical Study of LLM Robustness in Code Vulnerability Detection', in Lecture Notes in Computer Science, pp. 233 - 245, http://dx.doi.org/10.1007/978-981-95-4969-6_18

Xu S; Ding Z; Cheng X; Li Y; Sun N; Turnbull B; Kan S; Ma S, 2026, 'PufferDoS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities', in Proceedings IEEE Symposium on Security and Privacy, pp. 3984 - 4002, http://dx.doi.org/10.1109/SP63933.2026.00169

Dilini N; Sun N; Miao S; Moustafa N, 2026, 'TrustGuard: IoT Intrusion Detection with XAI-Driven Feature Refinement for Enhanced Multi-class Edge Classification', in Lecture Notes in Computer Science, pp. 177 - 190, http://dx.doi.org/10.1007/978-981-95-4969-6_14

Guo X; Sun N; Chen Y; Xue J, 2025, 'AI-Powered Pavement Moduli Prediction: Advancing Smart City Infrastructure with Scalable and Interpretable Solutions', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, Institute of Electrical and Electronics Engineers (IEEE), AUSTRIA, Vienna, pp. 5380 - 5386, presented at 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), AUSTRIA, Vienna, 05 October 2025 - 08 October 2025, http://dx.doi.org/10.1109/SMC58881.2025.11343215

Xu S; Dong J; Cai W; Li J; Shaghaghi A; Sun N; Ma S, 2025, 'Enhancing Security in Third-Party Library Reuse Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis', in NETWORK AND DISTRIBUTED SYSTEM SECURITY SYMPOSIUM, NDSS 2025, INTERNET SOC, CA, San Diego, presented at 2025 Network and Distributed System Security Symposium-NDSS, CA, San Diego, 24 February 2025 - 28 February 2025, http://dx.doi.org/10.14722/ndss.2025.240576

Mo X; Sun N; Zhang LY; Luo W; Gao S; Xiang Y, 2025, 'Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks', in Lecture Notes in Computer Science, pp. 308 - 325, http://dx.doi.org/10.1007/978-981-96-8183-9_24

Wu Z; Jiang J; Yang S; Sun N, 2025, 'Dual-View Evidence Learning and Cross-View Fusion for Enhanced Text-Table Fact Verification', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 3052 - 3058, http://dx.doi.org/10.1109/SMC58881.2025.11342923

Dong J; Ni Z; Sun N; Jha S; Zhang Y; Bertino E; Nepal S; Ma S, 2025, 'Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks', in Proceedings of the IEEE International Conference on Trust Security and Privacy in Computing and Communications Trustcom, pp. 914 - 925, http://dx.doi.org/10.1109/Trustcom66490.2025.00106

Wu Z; Sun N; Jiang J; Yang S, 2025, 'Systematic Approaches to Fact Verification: Evidence Retrieval, Veracity Prediction, and Beyond', in Lecture Notes in Computer Science, pp. 271 - 289, http://dx.doi.org/10.1007/978-981-96-8183-9_22

Dong J; Chen X; Susilo W; Sun N; Shaghaghi A; Ma S, 2025, 'What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software', in Proceedings 2025 55th Annual IEEE IFIP International Conference on Dependable Systems and Networks Dsn 2025, pp. 345 - 357, http://dx.doi.org/10.1109/DSN64029.2025.00043

Chang YT; Hu Z; Li X; Yang S; Jiang J; Sun N, 2024, 'DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection', in International Conference on Information and Knowledge Management Proceedings, pp. 197 - 206, http://dx.doi.org/10.1145/3627673.3679675

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

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

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, 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

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, pp. 3 - 21, http://dx.doi.org/10.1007/978-3-030-65745-1_1

Preprints

Xu S; Ding Z; Cheng X; Li Y; Sun N; Turnbull B; Kan S; Ma S, 2026, PUFFERDOS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities, http://dx.doi.org/10.48550/arxiv.2606.19654

Wu P; Sun N; Moustafa N; Qu Y; Ding M, 2026, DEFENDCLI: {Command-Line} Driven Attack Provenance Examination, http://dx.doi.org/10.48550/arxiv.2508.12553

Xu S; Dong J; Cai W; Li J; Shaghaghi A; Sun N; Ma S, 2024, Enhancing Security in Third-Party Library Reuse -- Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis, http://dx.doi.org/10.48550/arxiv.2411.19648

Mo X; Zhang Y; Zhang LY; Luo W; Sun N; Hu S; Gao S; Xiang Y, 2023, Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics, http://dx.doi.org/10.48550/arxiv.2312.02673

Sun N; Li C-T; Chan H; Le BD; Islam MZ; Zhang LY; Islam MR; Armstrong W, 2022, Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges, http://dx.doi.org/10.48550/arxiv.2201.07417

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/10.48550/arxiv.2203.01526

Dilini N; Sun N; Miao S; Moustafa N, A Comprehensive Review on Graph-Based Anomaly Detection: Approaches for Intrusion Detection, http://dx.doi.org/10.20944/preprints202601.1466.v1

Back to profile page