| Project/Area Number |
20K14771
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 21040:Control and system engineering-related
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| Research Institution | Shibaura Institute of Technology (2022)
National Institute of Informatics (2020-2021) |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Control systems / Network attacks / Multi-agent systems / IoT / Jamming attacks / Control theory / Cyber security / Randomization / Cybersecurity / Machine learning |
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| Outline of Research at the Start |
This research project aims to use control theory and machine learning to develop novel wireless transmission methods that are simultaneously cybersecure and energy efficient. The end goal is to make the Internet of Things (IoT) more secure against potential jamming interference attacks.
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| Outline of Final Research Achievements |
This project aimed to develop secure and efficient techniques for control and communication components in network control systems and multi-agent systems within the context of the Internet of Things (IoT). The results were built upon the idea of randomizing transmission times over networks to achieve security and efficiency. This concept was expanded to incorporate modeling of jamming attacks, multi-objective optimization, predictive control, quantized control, game-theoretic analysis and design, and IoT testbed development.
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| Academic Significance and Societal Importance of the Research Achievements |
Wireless technologies are vital in smart cities and industrial applications for control and sensing data transmissions. Jamming attacks pose a major threat against them. We developed various techniques in networked control and multi-agent systems to counter jamming attacks.
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