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Anomaly detection adaptable to attack changes based on decision making of human brain

Research Project

Project/Area Number 18K18040
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 60060:Information network-related
Research InstitutionOsaka University

Principal Investigator

Kuze Naomi  大阪大学, 基礎工学研究科, 助教 (20778071)

Project Period (FY) 2018-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywordsセキュリティ / 集団的行動選択 / 強化学習 / 移動制御 / アンチジャミング / 情報ネットワーク / サイバーセキュリティ / 意思決定 / ネットワークセキュリティ
Outline of Final Research Achievements

Because of the rapid diversification of cyber attacks, it is important to consider novel approaches, which have high adaptability to attack changes, based on decision making and learning of brains.
First, we introduced collective decision making in animal groups to self-organizing systems. In detail, we adapted the concept of flexible leadership to channel selection in wireless sensor networks, and demonstrated that with the proposed mechanism, appropriate channels could be selected according to environmental changes. Next, we focused on a mobile robot with wireless communication, proposed QoS-based anti-jamming mobile control mechanism based on reinforcement learning. We revealed that with the proposed mechanism, the agent could learn mobile scheme that avoid jamming attacks.

Academic Significance and Societal Importance of the Research Achievements

申請者は、ネットワークの大規模化、多様化に伴う、サイバー攻撃の多様化への対策のため、脳の意思決定、学習の仕組みの応用について研究を実施した。
申請者は、ヒトのグループにおける集団的行動選択においてみられるflexible leadershipの概念を無線センサネットワークにおけるチャネル選択手法に適用し、不確実な情報化で適切なチャネル選択が可能であることを示した。また、移動ロボットを対象として、QoSに基づいた強化学習を利用した無線通信を妨害するジャミング攻撃にロバストな移動制御手法を提案し、ジャミングを回避するよう移動方策の学習が可能であることを示した。

Report

(3 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • Research Products

    (8 results)

All 2020 2019 2018

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (6 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Anti-jamming mobile control using QoS-based reinforcement learning2019

    • Author(s)
      Kuze Naomi、Nakashima Taishi、Ushio Toshimitsu
    • Journal Title

      IEICE Communications Express

      Volume: 8 Issue: 12 Pages: 501-506

    • DOI

      10.1587/comex.2019GCL0025

    • NAID

      130007755161

    • ISSN
      2187-0136
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Self-Organizing Control Mechanism Based on Collective Decision-Making for Information Uncertainty2018

    • Author(s)
      Kuze Naomi、Kominami Daichi、Kashima Kenji、Hashimoto Tomoaki、Murata Masayuki
    • Journal Title

      ACM Transactions on Autonomous and Adaptive Systems

      Volume: 13 Issue: 1 Pages: 1-21

    • DOI

      10.1145/3183340

    • Related Report
      2018 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] 生物の集団的行動選択に基づく不確実な情報を用いた自己組織型ネットワーク制御手法の一検討2020

    • Author(s)
      志垣沙衣子, 久世尚美, 小南大智, 加島健司, 村田正幸
    • Organizer
      電子情報通信学会情報ネットワーク研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 需要変動を考慮した非同期型タクシー経路支援システム2020

    • Author(s)
      高島相太, 久世尚美, 潮俊光
    • Organizer
      IEICE総合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Hierarchical taxi dispatch system with local coordination among micro-level components: WIP abstract2019

    • Author(s)
      Sota Takashima, Naomi Kuze, Toshimitsu Ushio
    • Organizer
      The 10th ACM/IEEE International Conference on Cyber-Physical Systems
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications2019

    • Author(s)
      Mi Jian, 久世 尚美,潮 俊光
    • Organizer
      複雑コミュニケーションサイエンス研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 強化学習を用いたQoSベースのアンチジャミング移動制御2019

    • Author(s)
      中嶋 大志, 久世 尚美, 潮 俊光
    • Organizer
      IEICE総合大会
    • Related Report
      2018 Research-status Report
  • [Presentation] Self-organizing control mechanisms according to information confidence for improving performance2018

    • Author(s)
      Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata
    • Organizer
      IEEE Global Communication Conference (GLOBECOM 2018)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research

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Published: 2018-04-23   Modified: 2021-02-19  

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