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2022 Fiscal Year Final Research Report

Stochastic Control-Theoretic Approach to Development of Simultaneously Cyber-Secure and Energy-Efficient Randomized Transmission Methods for Dependable IoT

Research Project

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Project/Area Number 20K14771
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 21040:Control and system engineering-related
Research InstitutionShibaura Institute of Technology (2022)
National Institute of Informatics (2020-2021)

Principal Investigator

CETINKAYA AHMET  芝浦工業大学, 工学部, 准教授 (60851730)

Project Period (FY) 2020-04-01 – 2023-03-31
KeywordsControl systems / Network attacks / Multi-agent systems / IoT / Jamming attacks / Control theory / Cyber security / Randomization
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.

Free Research Field

Stochastic control systems

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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Published: 2024-01-30  

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