Rchr
J-GLOBAL ID：201801002972740641   Update date: Jun. 18, 2024

Feng Yaokai

フォン ヤオカイ | Feng Yaokai
Affiliation and department：
Kyushu University Faculty of Information Science and Electrical Engineering

About Kyushu University Faculty of Information Science and Electrical Engineering


Research field  (1)： Information security
Research keywords  (1)： Cyber-attack detection, Automatic extraction of thresholds for attack detection, 2-stage attack detectoin
Research theme for competitive and other funds  (9)：
  • 2019 - 2022 Automated Testing of Deep Learning Systems
  • 2018 - 2021 Systematic Evaluation on Security and Privacy of Crypto-Virtual Currency
  • 2018 - 2021 Study on Cyber-attack Detection based on Automatic Extraction of Multi-dimensional Behavior Modes
  • 2015 - 2018 Decentralized cryptographic infrastructure: Design and Analysis of Applied Systems
  • 2013 - 2016 Effective detection of various kinds of cyberattacks using histogram database technology
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Papers (79)：
  • Yiluo Liu, Yaokai Feng, Kouichi Sakurai. A Design of Internet of Vehicles System Incorporating Lightweight Roadside Units and Blockchain Strategy. The 18th International Conference on Ubiquitous Information Management and Communication, IEEE. 2024. 1-8
  • Pengju He, Haibo Zhang, Yaokai Feng, Kouichi Sakurai. A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional. The 5th International Conference on Science of Cyber Security, LNCS,volume 14299, Springer. 2023. 513-523
  • Yang Lyu, Yaokai Feng, Kouichi Sakurai. A Survey on Feature Selection Techniques Based on Filtering Methods for Cyber Attack Detection. Information. 2023. 14. 3
  • Yang Lyu, Yaokai Feng, Kouichi Sakurai. Filter-based Feature Selection Techniques for Network Anomaly Detection. The 4th International Symposium on AI Electronics. 2023
  • Muyuan Niu, Yaokai Feng, Kouichi Sakurai. A two-stage detection system of DDoS attacks in SDN using a trigger with multiple features and self-adaptive thresholds. 17th International Conference on Ubiquitous Information Management and Communication, IEEE. 2023. 1-7
ｍore...
MISC (100)：
  • XiaoJuan Cai, Yaokai Feng, Kouichi Sakurai. Performance Investigation of An Intrusion Detection System Based on Sequential Artificial Neural Network Classifiers. 火の国シンポジウム. 2021
  • 馮尭鍇, 櫻井幸一. ブロックチェーンプラットフォームと汎用トランザクション管理システム. コンピュータセキュリティシンポジウム 2020 (CSS2020). 2020
  • Ruishan Li, Yaokai Feng, Kouichi Sakurai. Evaluating the Effectiveness of Pixel Deflection Defending against Adversarial Attacks. 火の国シンポジウム. 2020
  • Hao Zhao, Koide, Yaokai Feng, Sakurai Kouichi. U2RおよびR2L攻撃の効率的な検出に向けて. 火の国シンポジウム. 2019
  • Yan Naung Soe, Yaokai Feng, Kouichi Sakurai. Towards a lightweight detection system of cyber attacks in IoT environments using feature selection. 火の国シンポジウム. 2019
ｍore...
Books (3)：
  • Kansei engineering and soft computing : theory and practice
    IGI Global 2011 ISBN:9781616927974
  • Computer Network and Communication
    Industry Press 2004
  • Guidance on Computer Network and Communication
    1998
Education (3)：
  • 2000 - 2003 九州大学大学院システム情報科学研究科 (博士後期課程)
  • 1989 - 1992 Tianjin University Information Science and Technology
  • 1982 - 1986 Tianjin University (China) Information Science and Technology
Professional career (1)：
  • 博士(情報学) (九州大学)
Work history (3)：
  • 2003/07 - 現在 九州大学大学院システム情報科学研究
  • 1992/04 - 1998/10 天津大学(中国重点大学、985大学) 情報科学と技術学部
  • 1986/07 - 1992/03 Tianjin University
Committee career (4)：
  • 2021/01 - 2021/12 電子情報通信学会英語論文誌(Special Section) Guest Associate Editor
  • 2019/01 - 2019/12 電子情報通信学会英語論文誌(Special Section) Guest Associate Editor
  • 毎年、IEEE SmartCity, IEEE CyberSciTech, Candar, APWeb-WAIM, AINA など、国際会議 査読委員
  • ACM Computing Surveys, IEEE Transactions on Multimedia, IEEE ACCESS, Journal Security and Privacy IEICE Transaction, Sensors, Security&Privacy, 等 国際学術誌 査読委員
Awards (3)：
  • 2012/10 - The 8th Joint Workshop on Machine Perception and Robotics Best Poster Award
  • 2011/07 - The Best Paper
  • 2005/04 - the IEEE Computer Society Certificate of Appreciation
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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