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Enhancing Security using Trusted Blockchain Method for Internet of Vehicle

Enhancing Security using Trusted Blockchain Method for Inter...

引用

2024 ieee international conference on automation and Computation, AUTOCOM 2024

作者： Yadav, Shreya Singh, Karan Bezzateev, Sergey Jawaharlal Nehru University School of Computer and Systems Sciences New Delhi India Saint Petersburg State Universityof Aerospace Instrumentation Russia

ISBN: (纸本)9798350382723

In the Internet of Vehicles (IoV) era, connected vehicles are about to embark on an innovative journey, opening avenues for innovative applications and increasing security measures. Even as the number of connected cars in the automotive industry rises significantly, security and privacy vulnerabilities continue. Existing IoV applications use intelligent sensors to collect valuable data from connected cars while operating within cyber-physical communication infrastructures. This technological-evolution enables the sharing of essential information among drivers, insurance companies, and service providers. Today's Internet of Vehicles ecosystem is vulnerable to hackers who can steal data or spy on communication. Blockchain technology enhances security and decreases the risk of these threats in the IoV network. IoV stores records about how drivers behave, speeding incidents, vehicle and component candidates, records accidents and repair history. Ensuring the reliability and accuracy of this data is crucial because insurance companies use it to determine premiums. In this paper, we propose introducing blockchain technology to vehicle networking so that vehicles can benefit from various scalable IoV application scenarios for decision-making and use a distributed access control system to share data with more security, reliability, and trust. The proposed structure provides a trust model for data sharing among connected *** trust model establishes a secure and efficient consensus framework for data sharing. Through a comprehensive analysis, we validate the effectiveness of our proposed scheme in ensuring the integrity and reliability of shared data. © 2024 ieee.

关键词： Vehicles

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MorphoSys Bridges Morphogenesis in Swarms of Cells and Robots 12

MorphoSys Bridges Morphogenesis in Swarms of Cells and Robot...

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Yang, Yongliang Pan, Mengyun Cui, Long Liu, Lianqing State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Morphogenesis, a concept of developmental biology, means forming patterns of tissues and organs during embryo development. Its regulatory mechanisms provide an inspiring storehouse for swarm robotics. Though many swarm robot platforms and controlling methods have been developed, a reliable engineering methodology is still missing, which hinders the advances of swarm robotics. To address this problem, we present the MorphoSys, a platform integrating the research and development of morphogenesis in both swarms of cells and robots. MorphoSys includes three components: MorphoCell, MorphoSim, and MorphoBot. This MorphoSys enables us to quantitively investigate the governing principles of morphogenesis of cells and to translate these principles into controlling methods of robot swarms. Meanwhile, the robot swarms could serve as a physical model to study morphogenesis in cell swarms. Via enabling quantitative bio-mimicking, MorphoSys has the potential to develop a reliable engineering methodology for swarm robotics. © 2022 ieee.

关键词： Cells

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Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots 12

Adaptive PID Trajectory Tracking Algorithm Using Q-Learning ...

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Fan, Xiaoliang Sui, Jin He, Naifeng Zhang, Bi Bu, Chunguang Yang, Junbo Cui, Lele State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Department of Automation Nanjing University of Aeronautics and Astronautics Nanjing China Shenyang Institute of Science and Technology Shenyang China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Classical PID controllers usually rely on some prior knowledge to manually adjust the gains of the controller and determine them. However, when the mobile robot works in a complex and changeable environment, the fixed PID gains may be difficult to meet the needs of the robot trajectory tracking accuracy. Therefore, this paper proposes a Q-learning-based adaptive PID trajectory tracking algorithm. Firstly, we construct a trajectory tracking Q-PID controller based on the error model of mobile robot. Then, the Q-learning algorithm is used to adaptively adjust the gains of the PID controller online. Meanwhile, the incremental active learning exploration method is used to improve learning efficiency and adaptability of agent. Finally, we use simulation experiments to verify the high performance of our algorithm. © 2022 ieee.

关键词： Mobile robots

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Integrating Ontology Design with the CRISP-DM in the Context of cyber-Physical systems Maintenance 29

Integrating Ontology Design with the CRISP-DM in the Context...

引用

29th ieee international conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Gill, Milapji Singh Westermann, Tom Steindl, Gernot Gehlhoff, Felix Fay, Alexander Institute of Automation Technology Helmut Schmidt University Hamburg Germany Institute of Computer Engineering Tu Wien Austria Ruhr University Automation Bochum Germany

ISBN: (纸本)9798350361230

In the following contribution, a method is introduced that integrates domain expert-centric ontology design with the Cross-Industry Standard Process for Data Mining (CRISP-DM). This approach aims to efficiently build an application-specific ontology tailored to the corrective maintenance of cyber- Physical systems (CPS). The proposed method is divided into three phases. In phase one, ontology requirements are systematically specified, defining the relevant knowledge scope. Accordingly, CPS life cycle data is contextualized in phase two using domain-specific ontological artifacts. This formalized domain knowledge is then utilized in the CRISP-DM to efficiently extract new insights from the data. Finally, the newly developed data-driven model is employed to populate and expand the ontology. Thus, information extracted from this model is semantically annotated and aligned with the existing ontology in phase three. The applicability of this method has been evaluated in an anomaly detection case study for a modular process plant. © 2024 ieee.

关键词： cybersecurity

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Multi-Ground Station and Multi-Satellite Resource Scheduling Based on Improved Genetic Algorithm

Multi-Ground Station and Multi-Satellite Resource Scheduling...

引用

ieee international conference on cyber technology in automation, control, and intelligent systems

作者： Jieyu Yang Yanning Guo Zhen Shao Guangfu Ma Qing Deng School of Astronautics Harbin Institute of Technology Harbin China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

The number of satellites in orbit is increasing rapidly. To make better use of the limited ground station resources, an improved genetic algorithm considering satellites and ground station resources is proposed. The hybrid encoding rules, genetic operators, and adaptive operators, which can better adapt to the characteristics of the problem and improve algorithm efficiency, are designed. The simulation comparison with the simple genetic algorithm demonstrates that the improved genetic algorithm has a faster convergence speed and superior searching ability.

关键词： Satellites automation control systems Scheduling Encoding Orbits intelligent systems Genetic operators Convergence

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Enhancing cybersecurity and frequency control Efficiency in AC islanded Microgrids: A Distributed Approach with a Stochastic Models 8

Enhancing Cybersecurity and frequency Control Efficiency in ...

引用

8th international conference on Green Energy and Applications (ICGEA)

作者： Al-dulaimi, Falah Noori Saeed Kurnaz, Sefer Altinbas Univ Dept Elect & Comp Engn Istanbul Turkiye Middle Tech Univ Baghdad Iraq

ISBN: (纸本)9798350349009;9798350349016

This paper explores the vulnerability of AC islanded microgrids to cyber-attacks, focusing on communication links and local controls. Decentralized control methods are proposed to enhance security, with a detailed analysis of false data injection (FDI) and denial of service (DoS) attacks. Approaches to address DoS attacks include consensus of multiagent systems and risk-sensitive control. The study proposes a lightweight prevention model to mitigate FDI, featuring a cooperative stochastic control system with a communication-based controller. In contrast to existing distributed control methods, the proposed approach offers advantages in synchronizing frequency restoration, ensuring accurate power sharing through sparse communication networks, and reducing control update frequency. The study contributes to heightened system security, addresses limitations of centralized control methods, and integrates stationary proportional resonant primary control and intelligent secondary control based on the dragonfly algorithm for improved microgrid performance under various operating conditions.

关键词： Islanded Microgrid cyber-attack Distributed Dragonfly Stochastic

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Multiscale Feature Fusion Module for Prohibited Item Detection 9

Multiscale Feature Fusion Module for Prohibited Item Detecti...

引用

9th international conference on intelligent Computing and Signal Processing, ICSP 2024

作者： Xu, Ruiqi Zhang, Chirui School of Automation China University of Geosciences Hubei Wuhan430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Hubei Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Hubei Wuhan430074 China

ISBN: (纸本)9798350376548

X-ray security check is a prevalent placement measure that plays a vital role in ensuring public safety. However, detecting prohibited items poses a complex challenge due to their variable sizes within X-ray images. In this study, we tackle this issue by curating a novel dataset through the integration of open-source data and introducing a Multiscale Feature Fusion Module. This module facilitates robust detection by amalgamating features across different scales. Extensive experiments verified that the superiority of our method compared to existing methods on the prohibited items test set constructed in this paper demonstrates extremely well the practical effectiveness of our proposed method. © 2024 ieee.

关键词： component Environmental Security Prohibited Items Security Inspection X-ray Images

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Design and Development of Big Data System for Blast Furnace Ironmaking 6

Design and Development of Big Data System for Blast Furnace ...

引用

ieee 6th international conference on Industrial cyber-Physical systems (ICPS)

作者： Chen, Qifu She, Jinhua Wu, Min Zhang, Zhuofu Liao, Zhenhong China Univ Geosci Sch Future Technol Wuhan 430074 Peoples R China China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Tokyo Univ Technol Sch Engn Tokyo 1920982 Japan Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan 430074 Peoples R China Hunan Valin Lianyuan Iron & Steel Co Ltd Loudi 417000 Peoples R China

ISBN: (纸本)9798350311259

The process of blast furnace ironmaking is composed of several sub-processes. The process of blast furnace smelting is complicated and the data of each sub-process are scattered and not concentrated. The traditional working mode of subjective judgment based on manual experience is not conducive to the stable production of the blast furnace. Therefore, this paper develops a big data system for the production process of blast furnace, which is of great significance to realize the digital production and intelligent production of blast furnace. According to the system architecture of blast furnace ironmaking, this paper mainly designs and develops the data acquisition layer, data storage layer, data analysis layer and data application layer of the big data system.

关键词： blast furnace silicon content SVR GWO VMD

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Discrete-time Adaptive Dynamic Surface control Method with Performance-prescribed for Dielectric Elastomer Actuator 7

Discrete-time Adaptive Dynamic Surface Control Method with P...

引用

7th international conference on intelligent Robotics and control Engineering, IRCE 2024

作者： Wang, Yue Liu, Yuan Che, Ming Northeast Electric Power University School of Automation Engineering Jilin China State Grid XinYuan Company Limited Northeast Development and Construction Corporation Shenyang China

ISBN: (纸本)9798350352399

This paper proposes a discrete control scheme based on performance-prescribed dynamic surface technology for adaptive neural network with implicit inverse compensation to address the control problem of dielectric elastomer actuators (DEAs). Compared to continuous control, discrete control is more in line with the working rules of computers. Innovatively introducing performance-prescribed functions in discrete control systems, enabling tracking errors to converge within a preset range in advance, utilizing implicit inverse compensation for hysteresis nonlinearity, and integrating it into adaptive dynamic surface control methods to achieve precise control of DEAs. Finally, the effectiveness of the proposed scheme was verified based on the constructed dielectric elastomer driven motion experimental platform. © 2024 ieee.

关键词： Discrete time control systems

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Frequency Prism in Delay Adjustable intelligent Reflecting Surfaces for Long Distance Communications in LEO Satellite Networks 59

Frequency Prism in Delay Adjustable Intelligent Reflecting S...

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59th Annual ieee international conference on Communications (ieee ICC)

作者： Sekimori, Shuta Kawamoto, Yuichi Kato, Nei Watanabe, Shingo Funada, Junichi Ariyoshi, Masayuki Tohoku Univ Grad Sch Informat Sci Sendai Miyagi Japan NEC Corp Ltd Adv Network Res Labs Kawasaki Kanagawa Japan

ISBN: (纸本)9781728190549

Low Earth Orbit (LEO) satellite communication systems are gaining prominence for providing extensive coverage in 6G networks. LEO satellites face challenges owing to the high path loss caused by long distances, thereby necessitating high-power or highly directional antennas. Traditional solutions, such as phased and reflective arrays, fail to meet the size, weight, and price/power (SWaP) requirements, as well as beam flexibility. To address these limitations, this study explores the potential of integrating intelligent reflecting surface (IRS) technology with LEO satellites, offering better SWaP compliance and beam control. Multi-beamforming technology is crucial for LEO satellite communications, and we propose a frequency prism technique to address this requirement. We introduce the delay adjustable-IRS (DA-IRS) as a solution to realize the frequency prism by controlling the time delay for incident wave reflections. Additionally, we model a control strategy to optimize the frequency utilization efficiency to address uneven throughput demands within the coverage area. The proposed approach is assessed through simulations. These findings demonstrate the viability of our model for meeting the key requirements of LEO satellite communication systems.

关键词： delay elements frequency prism and intelligent reflecting surfaces

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