國立勤益科技大學資訊管理系(所)

Hsiao-Chung Lin

• 最高學歷

國立中山大學　資訊管理系　博士

二、經歷

A主要經歷

B其他實務經驗

三、研究領域及專長

1. 資訊安全
2. 入侵偵測
3. 人工智慧
4. 機器學習
5. 深度學習
6. 物聯網
7. 車聯網

四、研究成果

A期刊論文

1. Using Deep Learning Networks to Identify Cyber Attacks on Intrusion Detection for In-Vehicle Networks. Electronics (SCIE), 11(14), p2180-2197, 20227/12, Hsiao-Chung Lin, Ping Wang, Kuo-Ming Chao, Wen-Hui Lin, Jia-Hong Chen.
2. Ensemble Learning for Threat Classification in Network Intrusion Detection on a Renewable Energy Security Monitoring System. Applied Sciences (SCIE), 11(23), p11283-11302, 2021/11/29, Hsiao-Chung Lin, Ping Wang, Kuo-Ming Chao, Wen-Hui Lin, Zong-Yu Yang.
3. Identifying the Attack Sources of Botnets for a Renewable Energy Management System by Using a Revised Locust Swarm Optimisation Scheme. Symmetry (SCIE), 13(7), p1295-1315, 2021/7/19, Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Kuo-Ming Chao, Zong-Yu Yang.
4. A Multiple-Swarm Particle Swarm Optimisation Scheme for Tracing Packets Back to the Attack Sources of Botnet. Applied Sciences (SCIE), 11(3), p1139-1159, 2021/1/26, Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Yu-Hsiang Huang.
5. Implementation of an PSO-Based Security Defense Mechanism for Tracing the Sources of DDoS Attacks. Computers (ESCI), 8(4), p88-103, 2019/12/4, Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin.
6. Detecting Botnet by Anomalous Traffic. Journal of Information Security and Applications (SCIE), 21, p42-51, 2015/04, Chia-Mei Chen, Hsiao-Chung Lin.
7. An Efficient Network Intrusion Detection. Computer Communications (SCIE), 33(4), p477-484, 2010/03, Chia-Mei Chen, Ya-Lin Chen, Hsiao-Chung Lin.

B研討會論文

1. Malware Detection and Classification by Graph Neural Network. 2023 IEEE 5th Eurasia Conference on IoT, Communication and Engineering (IEEE ECICE 2023), October 27-29, 2023. Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Yu-Hsiang Lin, Yi-Sian Yu.
2. Graph Neural Network for Malware Detection and Classification on a Renewable Energy Management Platform. 5th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability 2023 (IEEE ECBIOS 2023), June 2-4, 2023. Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Yu-Hsiang Lin, Jia-Hong Chen.
3. Using Deep Learning Networks to Identify Cyber Attacks on Intrusion Detection for In-Vehicle Networks. 4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability 2022 (IEEE ECBIOS 2022), May 27-29, 2022. Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Jia-Hong Chen.
4. Stacking Ensemble Learning for Intrusion Detection and Security Threat Classification on a Renewable Energy Management Platform. 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB 2021), December 10-12, 2021. Hsiao-Chung Lin, Ping Wang, Yi Hsin Cheng, Wen-Hui Lin, Zong-Yu Yang.
5. Ensemble Learning for Threat Classification in Network Intrusion Detection on a Renewable Energy Security Monitoring System. 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021 (IEEE ECICE 2021), October 29-31, 2021. Hsiao-Chung Lin, Ping Wang, Kuo-Ming Chao, Wen-Hui Lin, Zong-Yu Yang.
6. A Revised Locust Swarm Optimisation Scheme for Identifying the Attack Sources of Botnet for a Renewable Energy Management System. 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2021), May 28-30, 2021. Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Kuo-Ming Chao, Zong-Yu Yang.
7. Discovering Security Vulnerabilities of DDoS Attack for Renewable Energy Management System Using Particle Swarm Optimization Algorithm. 2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2020), May 29-31, 2020. Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Yu-Hsiang Huang.
8. A Revised Particle Swarm Optimization Scheme for Discovering Attack Vectors of IPv6 Security by Spoofed IP Attacks. 2019 IEEE Eurasia Conference on IOT, Communication and Engineering (IEEE ECICE 2019), October 3-6, 2019. Hsiao-Chung Lin, Ping Wang, Wen-Hui Li.
9. A Predictive Model for Air Quality Detection to Analyze Risk Factors of Allergic Asthma Using Machine Learning Approach. 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019), May 31 - June 3, 2019. Hsiao-Chung Lin, Ping Wang, Zong-Sian Yang.
10. 基於圖神經網路惡意程式偵測之研究，第28屆國際資訊管理暨實務研討會（IMP2023），2023/12/09，林孝忠、廖奕雯、王平、林文暉、林郁翔、余翊賢。
11. 結合人工智慧與虛擬助理應用於股價分析與預測之研究，第34屆國際資訊管理學術研討會（ICIM2023），2023/06/17，林孝忠、林文暉、廖奕雯、余翊賢、戴靜慧。
12. 以Rasa為基礎的銀髮族健康飲食管理系統，第34屆國際資訊管理學術研討會（ICIM2023），2023/06/17，林孝忠、王平、林亭君、戴靜慧。
13. 應用機器學習於車內網惡意訊息偵測之研究，臺灣網際網路研討會（TANET2022），2022/12/15~2022/12/17，林孝忠、王平、陳佳鴻、余翊賢。
14. 應用集成學習於再生能源平台之入侵偵測研究，2021臺灣網際網路研討會TANET暨全國計算機會議NCS，2021/12/10~2021/12/12，林孝忠、王平、陳佳鴻、王俊凱、余翊賢。
15. 社群與聊天機器人平台應用之系務通與資安通報研究，第32屆國際資訊管理學術研討會（ICIM 2021），2021/08/28，林孝忠、王平、唐敬堯、黃韋誠、陳柏勝。
16. 聊天機器人應用於智慧家庭之研究，第31屆國際資訊管理學術研討會（ICIM 2020），2020/12/12，林孝忠、王平、唐敬堯、王偉全。
17. 粒子演算法應用於殭屍網路攻擊源之溯源分析，第31屆國際資訊管理學術研討會（ICIM 2020），2020/12/12，林孝忠、王平、林文暉。
18. 以多群粒子群優化法之殭屍網路控制中心溯源分析，臺灣網際網路研討會（TANET 2020），2020/10/28~2020/10/30，林孝忠、王平、林文暉、楊宗諭。
19. 應用深度學習與遷移學習於勒索病毒威脅偵測之研究，臺灣網際網路研討會（TANET 2020），2020/10/28~2020/10/30，林孝忠、王平、蔡東霖、唐敬堯。
20. 陪伴型機器人與語音辨識技術應用於智慧居家之研究，第二十五屆國際資訊管理暨實務研討會（IMP 2019），2019年12月7，林孝忠、王平、唐敬堯、莊博鈞。
21. 應用深度學習於IoT 殭屍網路偵測之研究，第30屆國際資訊管理學術研討會（ICIM 2019），2019/05/18，林孝忠、林正逢、莊博鈞。

C技術報告及專書

1. 惡意程式入侵偵測與攻擊即時監控系統及其方法技術報告，2021/11，林孝忠。

D專利或新品種

E技術移轉

五、研究計畫及產學實績

六、獲獎及其他優良事蹟

A獲獎

1. 萬潤2023創新創意競賽：深度學習之肝癌辨識，榮獲大專組工程應用類佳作。
2. 2023台灣創新技術博覽會發明競賽：車聯網訊息流分析惡意行為偵測系統與其方法，榮獲銅牌獎。
3. 2023 E化系統創意應用競賽：投資型虛擬助理結合知識圖譜之應用，榮獲佳作。
4. 2022全國創新行銷實務競賽：健康飲食，榮獲大專校院組佳作。
5. 萬潤2022創新創意競賽：CAN車內網攻擊模擬器與入侵偵測分析，榮獲大專組電機資訊類佳作。

B其他優良事蹟

1. 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2021) 大會最佳論文獎。
2. 2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2020) 大會最佳論文獎。
3. 2019 IEEE Eurasia Conference on IOT, Communication and Engineering研討會(IEEE ECICE 2019) 大會最佳論文獎。
4. 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability研討會 (IEEE ECBIOS 2019) 大會最佳論文獎。
5. 2018 IEEE International Conference on Applied System Innovation 研討會 (IEEE ICASI 2018) 大會最佳論文獎。