Kyushu University Academic Staff Educational and Research Activities Database
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Yaokai Feng Last modified date:2022.05.06

Graduate School
Undergraduate School

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 Reseacher Profiling Tool Kyushu University Pure
Academic Degree
Country of degree conferring institution (Overseas)
Yes Bachelor Master
Field of Specialization
Network Security, Pattern Recognition, Database
Total Priod of education and research career in the foreign country
Research Interests
  • Network Security
    keyword : Handwritten Digit Recognition; Image Localization;
    2010.04Multidimensional Indexing and Algorithms; OLAP; XML.
  • Pattern recognition
    keyword : Feature extraction, Indexing, Image localization, Sift Keypoint, KNN search
  • Multidimensional indexing technologies
    keyword : Multidimensional data, Multidimensional indexing, Time series data, OLAP
Academic Activities
1. Yaokai Feng,
Book title: “Kansei Engineering and Soft Computing: Theory and Practice” (In English),
IGI Global, ISBN 978-1-61692-797-4(hardcover), ISBN 978-1-61692-799-8 (ebook), 2010.12, 第6章執筆 “Kansei databases and Kansei retrieval” (In English)
2. Computer Network and Communication
ISBN: 7-111-04991-8.
3. Questions and Answers of Network and Communication
ISBN: 7-111-05737-6.
1. Xiaojuan Cai, Yaokai Feng, Kouichi Sakurai, A Scheme Using a Classification Filter for the Sequential Detection of Cyber-attacks, Proc. the 6th IEEE CyberSciTech 2021, 2021.10.
2. Tao Wang, Yaokai Feng, Kouichi Sakurai , Improving the Two-stage Detection of Cyberattacks in SDN Environment Using Dynamic Thresholding, 15th International Conference on Ubiquitous Information Management and Communication, ISBN 978-1-6654-2318-2, 10.1109/IMCOM51814.2021.9377395, 1-7, 2021.01.
3. Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai, Machine Learning-Based IoT-Botnet Attacks Detection with Sequential
Architecture, Sensors 20(16), 2020, 2020.09.
4. Hao Zhao, Yaokai Feng, Hiroshi Koide, Kouichi Sakurai, A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks, Int. J. Netw. Comput. 10(2): 213-226 (2020), 2020.08.
5. Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai, Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features, Electronics 2020, 9(1), 144 (19 pages), 10.3390/electronics9010144, 9, 2020.01.
6. Hao Zhao, Yaokai Feng, Kouichi Sakurai,, An ANN Based Sequential Detection Method for Balancing Performance Indicators of IDS, The 7th International Symposium on Computing and Networking, CANDAR 2019, 10.1109/CANDAR.2019.00039, 239-244, 2019.11.
7. Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai, A Sequential Scheme for Detecting Cyber Attacks in IoT Enviornment, The 4th IEEE CyberSciTech2019, August 2019, 10.1109/DASC/PiCom/CBDCom/ CyberSciTech.2019.00051, 238-244, 2019.08.
8. Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai, Rule Generation for Signature Based Detection Systems of Cyber Attacks for IoT Environments, The Symposium MiniCandar 2019 , 2019.06.
9. Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai, Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-based Feature Selection and Its Performance Evaluation, The 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)  , 2019.03.
10. Yaokai Feng, Hitoshi Akiyama,Liang Lu,Kouichi, Sakurai, Feature Selection For Machine Learning-Based Early Detection of Distributed Cyber-Attacks, The 4th IEEE Cyber Science and Technology Conference, 173-180, 2018.08.
11. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, A Detection System for Distributed DoS Attacks Based on Automatic Extraction of Normal Mode and Its Performance Evaluation, the 10th  International Conference on Security, Privacy and Anonymity (SpaCCS2017) LNCS 10656,  2017.12, 2017.12.
12. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, A Behavior-based Online Engine for Detecting Distributed Cyber Attacks, the 17th World Conference on Information Security Applications,, 2016.08.
13. Yaokai Feng, How to fight against Botnets in IoT, The 3rd International Workshop on Cybersecurity, 2016.01.
14. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, A Proposal for Detecting Distributed Cyber-Attacks Using Automatic Thresholding, the 10th Asia Conference on information security, IEEE CPS, DOI 10.1109/AsiaJCIS.2015.22, 152-159, 2015.05.
15. Rong Huang, Palaiahnakote Shivakumara, Yaokai Feng, Seiichi Uchida, Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework, IEICE Transactions on Information & Systems, 10.1587/transinf.E96.D.2235, Vol.E96-D, No.10, Page 2235-2244 , 2013.10.
16. Koichi Ogawara, Masahiro Fukutomi, Seiichi Uchida, Yaokai Feng, A Voting-Based Sequential Pattern Recognition Method, PLOS ONE , Vol.8, No.10, 2013.10.
17. Soma Shiraishi, Yaokai Feng, Seiichi Uchida, Skew Estimation by Parts, IEICE Transactions on Information & Systems, 10.1587/transinf.E96.D.1503, Vol.E96-D, No.7, page 1503-1512, 2013.07.
18. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi,
A Behavior-Based Method for Detecting Distributed Scan Attacks in Darknets, Journal of Information Processing, 10.22197/ipsjjip.21.527, Vol.21, No.3, page 527-538, 2013.07.
19. Song Wang, Seiichi Uchida, Marcus Liwicki, Yaokai Feng, Part-Based Methods for Handwritten Digit Recognition, Frontiers of Computer Science , 10.1007/s11704-013-2297-x , Vol. 7, No. 4, page 514-525, 2013.03.
20. Yaokai Feng, Akifumi Makinouchi, Ag+-tree: an Index Structure for Range-aggregation Queries in Data Warehouse Environments, International Journal of Database Theory and Application, Vol. 4, No. 2, page 51-64, 2011.08.
21. Yaokai Feng, Akifumi Makinouchi, A New Structure for Accelerating Xpath Location Steps, International Journal of Computer Science, Vol.38, No.2, page 113-121, 2011.06.
22. Yaokai Feng, kunihiko kaneko, Akifumi Makinouchi, Efficient Evaluation of Partially-dimensional Range Queries in Large OLAP Datasets, International Journal of Data Mining, Modelling and Management, DOI: 10.1504/IJDMMM.2011.041493, Vol.3, No.2, page 150-171, 2011.06.
23. Yaokai Feng, Seiichi Uchida, How to Design Kansei Retrieval Systems?, The 11th International Conference on Web-Age Information Management (WAIM2010), Lecture Note on Computer Science, LNCS 6184, Springer-Verlag, , 405-416, 2010.07.
24. Yaokai Feng, To Reveal the Performance secrets of Nearest Neighbor Searching, International Journal of Software Engineering and Its Applications (SELECTED from International Conference IPC 2007), Vol.2, No. 1, page 55-72, 2008.01.
25. Yaokai Feng, Akifumi Makinouchi, Efficient Evaluation of Partially-dimensional Range Queries Using Adaptive R*-tree, 17th International Conference on Database and Expert Systems Applications (DEXA 2006),, LNCS 4080, pp. 687-696, Springer-Verlag, (Acceptance Rate: 23%), 2006.09.
26. Yaokai Feng, Akifumi Makinouchi, A New Structure for Accelerating XPath Location Steps, The Seventh International Conference on Web-Age Information Management(WAIM), LNCS 4016, pp. 49-60, Springer-Verlag, (Acceptance Rate: 17%), 2006.06.
27. Yaokai Feng, Akifumi Makinouchi, Ag-Tree: A Novel Structure for Range Queries in Datawarehouse Environments, Proc. the 11th International Conference on Database Systems for Adavanced Applications (DASFAA),, LNCS 3882, pp. 498-512, Springer-Verlag, (Acceptance Rate: 25%), 2006.04.
28. Yaokai Feng, Akifumi Makinouchi, Batch-Incremental Nearest Neighbor Search Algorithm and Its Performance Evaluation, IEICE Transaction on Information and Systems, E86-D, 9, 1856-1867, 2003.09.
Membership in Academic Society
  • Information Processing Society of Japan
  • IPSJ Database Society
  • Database Society of Japan
Educational Activities
Educational Activities:
Other Educational Activities
  • 2010.12.