Class of 2023 Graduate Students

•  陳唯哲 (CHEN, Wei-). An Unsupervised Learning Approach for Cyber Attack Analysis with HTTP Payload Embedding (利用HTTP封包採取非監督式深度學習演算法進行網路攻擊樣態分析).

• 孫振原 (SUN, Cheng-Yuan). Multimodal Fusion for Deception Detection (多模態融合用於欺騙偵測).

  • Shun-Wen Hsiao and Cheng-Yuan Sun, "Attention-aware multi-modal RNN for deception detection," in Porc. of 2nd Workshop on Multimodal Big Data (MMBD 2022), Osaka, Japan, Dec. 17-20, 2022. (with IEEE Big Data 2022)

• 王詩渝 (WANG, Shih-Yu). A Novel Scoring System with Genetic Algorithm for Consensus Reaching in Malware Labels (基於基因演算法的惡意軟體標籤共識評分系統).

  • Shun-Wen Hsiao and Shih-Yu Wang, "A Genetic Algorithm Based Consensus Reaching Method on Malware Labels," in Proc. of the Twenty-ninth Americas Conference on Information Systems (AMCIS 2023), Panama City, Panama, August 10-12, 2023. (EI)

Class of 2022 Graduate Students

• 林履誠 (LIN, Lu-Cheng). Real-time Application-aware Function Call Tracing for ARM Virtual Machine using QEMU (利用QEMU針對ARM虛擬機器上之行程進行動態函式追蹤).

• 朱柏瑜 (CHU, Po-Yu). Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network (基於圖神經網路提取惡意程式家族序列特徵 ).

• 曾志中 (TSENG, Chih-Chung). Anomaly Detection on System Log with Language Modeling (於系統日誌使用語言模型的異常分析).

Class of 2021 Graduate Students

• 陳璿心 (CHEN, Hsuan-Hsin). Evaluate the Classification Result with Cacophonous Labels of Multiple Classifiers by Pairwise Consensus Score (以成對共識分數評估多個分類器中含雜亂標籤的分類結果).

• 林伶軒 (LIN, Ling Hsuan). Automatic ATT&CK Tactics Identification by Transformer-Based Language Model (基於Transformer語言模型之自動化ATT&CK戰術識別).

• 郭耀威 (KUOK, Io-Wai). Adversarial Text-to-Text Transformer Nets for Deep Sequential Feature Learning (對抗式 Text-to-Text Transformer 網路於深度序列特徵學習).

Class of 2020 Graduate Students

• 陳呈祐 (CHEN, Cheng-Yu). IoT Malware Dynamic Analysis Profiling System and Family Behavior Analysis.

  • Cheng-Yu Chen and Shun-Wen Hsiao, "IoT Malware Dynamic Analysis Profiling System and Family Behavior Analysis," in Proc. IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, Dec. 9-12, 2019. (Poster)

• 宋昆原 (SUNG, Kun-Yuan). Mitigating DDoS-like Requests and Ticket-Scalping in a Ticket-Selling System by Proof-of-Work and Game Theory.

  • Kun Yuan Sung and Shun-Wen Hsiao, "Mitigating DDoS with PoW and Game Theory," in Proc. IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, Dec. 9-12, 2019. (Poster)

• 林樂婷 (LAM, Lok Ting). AI-Based Missing Value Imputation Method: Using Online Lending Risk Assessment Data.

  • Lok Ting Lam and Shun-Wen Hsiao, "AI-Based Online P2P Lending Risk Assessment On Social Network Data With Missing Value," in Proc. IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, Dec. 9-12, 2019. (Poster)

Class of 2019 Graduate Students

• 李宜臻 (LEE, Yi-Jen). Feature Selection with Long Short-Term Memory from Sequential Data.

  • Shun-Wen Hsiao and Yi-Jen Lee, "Sequence-Based Malware Behavior Analysis by Recurrent Neural Networks," in Proc. of the 30th International Conference on Information Management 2019, May 18, 20019. (第30屆國際資訊管理學術研討會)

  • Shun-Wen Hsiao and Yi-Jen Lee, "NN-Based Feature Selection for Text-Based Sequential Data," in Proc. 24th Pacific Asia Conference on Information Systems (PACIS 2020), Dubai, UAE, June 20-24, 2020 (EI).

• 吳皓銘 (WU, Hao-Ming). filterNN: NN-based Feature Selection from Sequential Data.

  • Shun-Wen Hsiao and Hao-Ming Wu, "Malware Dynamic Behavior Analysis by Convolutional Neural Network," in Proc. of 2019資訊管理暨電子商務經營管理研討會, May 10-11, 20019.