Okyay Kaynak - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Okyay Kaynak

Also published under: O. M. Kaynak, O. Kaynak

Publications
263
Citations
12,642
Publications by Year
19872025
Co-Authors:
Show All Co-Authors (310)
Image of author Okyay Kaynak

Okyay Kaynak

Also published under: O. M. Kaynak, O. Kaynak

Affiliation

Bogazici University, Istanbul, Türkiye

Publication Topics

Biography

Okyay Kaynak (SM'90-F'03)received a B.Sc. degree with first-class honors and a Ph.D. in electronic and electrical engineering from the University of Birmingham, UK, in 1969 and 1972, respectively. From 1972 to 1979, he held various positions within the industry. In 1979, he joined Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus. He has held long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, the U.S., Singapore, and China. His current research interests are in intelligent control and industrial AI applications. He has authored four books, edited five, and authored or co-authored more than 450 papers that have appeared in various journals an...
Publications
263
Citations
12,642
Publications by Year
19872025
Co-Authors:
Show All Co-Authors (310)
Author's Published Works

Showing 1-25 of 263 results

  • Sort

Filter Results

Show

Sort By

Results

Deep Reinforcement Learning-Assisted Robust Cubature Kalman Filter for Power System Dynamic State Estimation With Multi-Rate Measurements

Haoli Gu;Shichao Liu;Bo Chen;Rusheng Wang;Li Yu;Okyay Kaynak

IEEE Transactions on Automation Science and Engineering
Year: 2025 | Volume: 22 | Journal Article |
The coexistence of high-frequency phasor measurement units (PMUs) and conventional SCADA systems raises the challenge of heterogenous-source and multi-rate measurements which significantly degrades the performance of power system dynamic state estimation. In this work, a deep reinforcement learning (DRL) assisted robust cubature Kalman filtering (CKF) scheme is proposed to handle measurements from...Show More

Deep Reinforcement Learning-Assisted Robust Cubature Kalman Filter for Power System Dynamic State Estimation With Multi-Rate Measurements

Haoli Gu;Shichao Liu;Bo Chen;Rusheng Wang;Li Yu;Okyay Kaynak

Year: 2025 | Volume: 22 | Journal Article |

Adaptive Neural-Based SMC for Singularly Perturbed Systems With Dead Zone Under Aperiodic Sampling

Zhihong Zhao;Shan Liu;Jun Cheng;Okyay Kaynak;Dan Zhang;Yuanyuan Shen;Yonghong Chen

IEEE Transactions on Cybernetics
Year: 2025 | Volume: 55, Issue: 6 | Journal Article |
This article addresses the adaptive neural network (NN)-based sliding-mode control (SMC) problem for sampled-data singularly perturbed systems under aperiodic sampling intervals and input dead zone nonlinearities. To accurately characterize the irregularity of sampling intervals, a nonhomogeneous sojourn probability approach is introduced. To accurately characterize the irregularity of sampling in...Show More

Adaptive Neural-Based SMC for Singularly Perturbed Systems With Dead Zone Under Aperiodic Sampling

Zhihong Zhao;Shan Liu;Jun Cheng;Okyay Kaynak;Dan Zhang;Yuanyuan Shen;Yonghong Chen

Year: 2025 | Volume: 55, Issue: 6 | Journal Article |

Protocol-Based Sliding Mode Control for Switched Systems With Multizone Probabilistic Time-Varying Delays

Zhihong Zhao;Jiangming Xu;Jun Cheng;Okyay Kaynak;Dan Zhang

IEEE Transactions on Industrial Informatics
Year: 2025 | Volume: 21, Issue: 2 | Journal Article |
In this article, we address the problem of protocol-based sliding mode control for switched systems with multizone probabilistic time-varying delays. To effectively manage the dynamic behavior of stochastic switching systems, a novel switching rule that incorporates both sojourn probability information and sojourn time is proposed. By exploiting the random nature of time-varying transmission delay...Show More

Protocol-Based Sliding Mode Control for Switched Systems With Multizone Probabilistic Time-Varying Delays

Zhihong Zhao;Jiangming Xu;Jun Cheng;Okyay Kaynak;Dan Zhang

Year: 2025 | Volume: 21, Issue: 2 | Journal Article |

Opportunities and Challenges of Generative Artificial Intelligence: Research, Education, Industry Engagement, and Social Impact

Daswin de Silva;Okyay Kaynak;Mona El-Ayoubi;Nishan Mills;Damminda Alahakoon;Milos Manic

IEEE Industrial Electronics Magazine
Year: 2025 | Volume: 19, Issue: 1 | Magazine Article |
Cited by: Papers (1)
Generative Artificial Intelligence (Generative AI) is transforming the way we live and work. Following several decades of Artificial Narrow Intelligence, Generative AI is signalling a paradigm shift in the intelligence of machines, an increased generalisation capability with increased accessibility and equity for non-technical users. Large Language Models (LLMs) are leading this charge, specifical...Show More

Opportunities and Challenges of Generative Artificial Intelligence: Research, Education, Industry Engagement, and Social Impact

Daswin de Silva;Okyay Kaynak;Mona El-Ayoubi;Nishan Mills;Damminda Alahakoon;Milos Manic

Year: 2025 | Volume: 19, Issue: 1 | Magazine Article |

Fixed-Time Control of a Novel Thrust-Vectoring Aerial Manipulator via High-Order Fully Actuated System Approach

Zhan Li;Yipeng Yang;Xinghu Yu;Cuiyu Liu;Okyay Kaynak;Huijun Gao

IEEE/ASME Transactions on Mechatronics
Year: 2025 | Volume: 30, Issue: 2 | Journal Article |
Cited by: Papers (5)
Unmanned aerial manipulators (UAMs) extend the operational reach of unmanned aerial vehicles (UAVs), yet are often limited by the underactuation of traditional UAV platforms, restricting the workspace of their end-effectors. This article introduces an overactuated UAM system comprising a biaxial-tilting thrust-vectoring quadrotor coupled with a serial manipulator. This configuration offers superio...Show More

Fixed-Time Control of a Novel Thrust-Vectoring Aerial Manipulator via High-Order Fully Actuated System Approach

Zhan Li;Yipeng Yang;Xinghu Yu;Cuiyu Liu;Okyay Kaynak;Huijun Gao

Year: 2025 | Volume: 30, Issue: 2 | Journal Article |

Design, Modeling, and Control of a Hybrid Quadplane With All-Moving Wings for Improved Flexibility and Efficiency

Fulin Song;Zhan Li;Xinghu Yu;Okyay Kaynak

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2024 | Volume: 54, Issue: 12 | Journal Article |
Cited by: Papers (1)
This article presents a novel compound aerial vehicle configuration called the hybrid quadplane with all-moving wings (HQWAWs), and provides a six-degrees-of-freedom (6-DOF) flight dynamics modeling and nonlinear controller design for this new configuration. Compared to traditional quadrotors, the HQWAW add two wings on left and right sides of the quadrotor. Each wing is a single structure that ca...Show More

Design, Modeling, and Control of a Hybrid Quadplane With All-Moving Wings for Improved Flexibility and Efficiency

Fulin Song;Zhan Li;Xinghu Yu;Okyay Kaynak

Year: 2024 | Volume: 54, Issue: 12 | Journal Article |

A Data-Driven Two-Stage Dynamometer Diagram Inference Approach for Variable Operational Conditions in Pumping Machines

Jiusi Zhang;Hao Luo;Jilun Tian;Xinyu Qiao;Xiaoyi Xu;Yuchen Jiang;Shen Yin;Okyay Kaynak

2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
Year: 2024 | Conference Paper |
In recent years, the soft measurement and state estimation of key parameters of industrial control systems and critical infrastructure have become crucial. The acquisition of dynamometer diagrams for pumping machines holds great significance in monitoring the operational status of drilling industrial control systems. To achieve the accurate inference of dynamometer diagrams from electrical paramet...Show More

A Data-Driven Two-Stage Dynamometer Diagram Inference Approach for Variable Operational Conditions in Pumping Machines

Jiusi Zhang;Hao Luo;Jilun Tian;Xinyu Qiao;Xiaoyi Xu;Yuchen Jiang;Shen Yin;Okyay Kaynak

Year: 2024 | Conference Paper |

A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process

Yang Li;Okyay Kaynak;Li Jia;Chun Liu;Yulong Wang;Enrico Zio

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 23 | Journal Article |
Cited by: Papers (1)
To achieve fault diagnosis and prognosis, obtaining adequate and reliable life-cycle data is essential. However, this poses a challenge in current high-reliable Internet of Things (IoT) systems. Fortunately, accelerated degradation testing (ADT) can be employed to overcome this hurdle. Nevertheless, a dependable testing and measuring technique is required to construct an accurate model for ADT. Th...Show More

A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process

Yang Li;Okyay Kaynak;Li Jia;Chun Liu;Yulong Wang;Enrico Zio

Year: 2024 | Volume: 11, Issue: 23 | Journal Article |

Prognostics for the Sustainability of Industrial Cyber-Physical Systems: From an Artificial Intelligence Perspective

Jiusi Zhang;Jilun Tian;Hao Luo;Shimeng Wu;Shen Yin;Okyay Kaynak

IEEE Transactions on Industrial Cyber-Physical Systems
Year: 2024 | Volume: 2 | Journal Article |
Cited by: Papers (2)
As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new industrial paradigm, their sustainability has become the current research focus. Remaining useful life (RUL) prediction, also known as prognostics, is critically significant for the sustainability of ICPS. The prognostics involve utilizing process monitoring devices within ICPS to acquire real-time operational...Show More

Prognostics for the Sustainability of Industrial Cyber-Physical Systems: From an Artificial Intelligence Perspective

Jiusi Zhang;Jilun Tian;Hao Luo;Shimeng Wu;Shen Yin;Okyay Kaynak

Year: 2024 | Volume: 2 | Journal Article |

Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors

Yang Li;Minrui Fei;Li Jia;Ningyun Lu;Okyay Kaynak;Enrico Zio

IEEE Transactions on Industrial Informatics
Year: 2024 | Volume: 20, Issue: 8 | Journal Article |
Cited by: Papers (3)
Accelerated degradation testing (ADT) data typically exhibit a time-stress-dependent structure, as well as random uncertainties due to time-varying effects and unit-to-unit variations. Existing ADT models based on Brownian motion with drift have successfully represented the fault/failure-based degradation behavior and random uncertainty by assuming that the drift parameter follows a Gaussian distr...Show More

Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors

Yang Li;Minrui Fei;Li Jia;Ningyun Lu;Okyay Kaynak;Enrico Zio

Year: 2024 | Volume: 20, Issue: 8 | Journal Article |

Data-Driven Design of Distributed Monitoring and Optimization System for Manufacturing Systems

Hao Wang;Hao Luo;Lei Ren;Mingyi Huo;Yuchen Jiang;Okyay Kaynak

IEEE Transactions on Industrial Informatics
Year: 2024 | Volume: 20, Issue: 7 | Journal Article |
Cited by: Papers (2)
The intelligent manufacturing system is a complex, large-scale, interconnected system composed of many intelligent agents, and there may be physical or information space couplings between the agents. A distributed monitoring system and optimization control method are proposed to ensure the system completes its tasks safely and efficiently. The distributed monitoring system based on the average con...Show More

Data-Driven Design of Distributed Monitoring and Optimization System for Manufacturing Systems

Hao Wang;Hao Luo;Lei Ren;Mingyi Huo;Yuchen Jiang;Okyay Kaynak

Year: 2024 | Volume: 20, Issue: 7 | Journal Article |

Global Prescribed-Time Stabilization of a Class of Uncertain Linear Systems With Applications to Aerospace Systems

Kang-Kang Zhang;Cankun Wang;Chih-Chiang Chen;Okyay Kaynak

IEEE Transactions on Aerospace and Electronic Systems
Year: 2024 | Volume: 60, Issue: 4 | Journal Article |
This article studies the prescribed-time stabilization problem of a class of uncertain linear systems. With the aid of some properties of a class of parametric Lyapunov equations and time-varying Lyapunov-like functions, time-varying linear smooth observer-based output feedback controllers are designed to achieve the prescribed-time stabilization. The studied uncertain linear systems can include p...Show More

Global Prescribed-Time Stabilization of a Class of Uncertain Linear Systems With Applications to Aerospace Systems

Kang-Kang Zhang;Cankun Wang;Chih-Chiang Chen;Okyay Kaynak

Year: 2024 | Volume: 60, Issue: 4 | Journal Article |

A Performance Recovery Approach for Multiagent Systems With Actuator Faults in Noncooperative Games

Hao Wang;Hao Luo;Yuchen Jiang;Okyay Kaynak

IEEE Transactions on Industrial Informatics
Year: 2024 | Volume: 20, Issue: 5 | Journal Article |
This article proposes a distributed performance recovery method for multiagent systems with actuator faults in noncooperative games. The local agent (player) can only obtain the policy information of neighboring agents through the communication network. The strategies of nonneighbors in the cost function are unknown, and a leader–follower consensus algorithm is introduced to estimate nonneighbors'...Show More

A Performance Recovery Approach for Multiagent Systems With Actuator Faults in Noncooperative Games

Hao Wang;Hao Luo;Yuchen Jiang;Okyay Kaynak

Year: 2024 | Volume: 20, Issue: 5 | Journal Article |

Sliding Surface Design for Sliding Mode Load Frequency Control of Multiarea Multisource Power System

Van Van Huynh;Phong Thanh Tran;Chau Si Thien Dong;Bach Dinh Hoang;Okyay Kaynak

IEEE Transactions on Industrial Informatics
Year: 2024 | Volume: 20, Issue: 5 | Journal Article |
Cited by: Papers (7)
A new load frequency control (LFC) technique for a multiarea steam-hydropower system (MASHPS) with parameter uncertainty is proposed in this research. A second-order sliding mode control (SMC) via double integrated sliding surface is meant to improve MASHPS frequency regulation, tie-line power management, and dependability. This strategy not only increases asymptotic stability and dependability of...Show More

Sliding Surface Design for Sliding Mode Load Frequency Control of Multiarea Multisource Power System

Van Van Huynh;Phong Thanh Tran;Chau Si Thien Dong;Bach Dinh Hoang;Okyay Kaynak

Year: 2024 | Volume: 20, Issue: 5 | Journal Article |

Data-Driven Distributed Diagnosis and Optimization Control for Cascaded Systems

Hao Wang;Hao Luo;Yuchen Jiang;Okyay Kaynak

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2024 | Volume: 54, Issue: 5 | Journal Article |
Cited by: Papers (2)
Due to limitations in large-area communication and computation, it can be challenging to apply centralized diagnosis and optimization control design approaches to cascaded systems. This work proposes a distributed diagnosis and optimization control approach, which is realized using data-driven techniques. Specifically, an adaptive observer-based subdiagnosis system design approach is proposed for ...Show More

Data-Driven Distributed Diagnosis and Optimization Control for Cascaded Systems

Hao Wang;Hao Luo;Yuchen Jiang;Okyay Kaynak

Year: 2024 | Volume: 54, Issue: 5 | Journal Article |

Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach

Fanbiao Li;Zheng Wu;Nikhil R. Pal;Chunhua Yang;Hao Peng;Okyay Kaynak;Tingwen Huang

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2024 | Volume: 54, Issue: 3 | Journal Article |
Cited by: Papers (2)
This article presents an adaptive control strategy for lane-keeping task of automatic steering systems via sliding-mode technique. First, considering the road-vehicle lateral dynamics, a standard single track steering model has been developed for the lane-keeping task. To cope with the time-variant nature of the longitudinal velocity and uncertainty of measurement, a class of interval type-2 fuzzy...Show More

Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach

Fanbiao Li;Zheng Wu;Nikhil R. Pal;Chunhua Yang;Hao Peng;Okyay Kaynak;Tingwen Huang

Year: 2024 | Volume: 54, Issue: 3 | Journal Article |

Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

Hongtian Chen;Hao Luo;Biao Huang;Bin Jiang;Okyay Kaynak

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 3 | Journal Article |
Cited by: Papers (59)
Over the last decade, transfer learning has attracted a great deal of attention as a new learning paradigm, based on which fault diagnosis (FD) approaches have been intensively developed to improve the safety and reliability of modern automation systems. Because of inevitable factors such as the varying work environment, performance degradation of components, and heterogeneity among similar automa...Show More

Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

Hongtian Chen;Hao Luo;Biao Huang;Bin Jiang;Okyay Kaynak

Year: 2024 | Volume: 35, Issue: 3 | Journal Article |

Monitoring and Defense of Industrial Cyber-Physical Systems Under Typical Attacks: From a Systems and Control Perspective

Yuchen Jiang;Shimeng Wu;Renjie Ma;Ming Liu;Hao Luo;Okyay Kaynak

IEEE Transactions on Industrial Cyber-Physical Systems
Year: 2023 | Volume: 1 | Journal Article |
Cited by: Papers (26)
In the new industrial environment, the safe and reliable operation of Industrial Cyber-Physical Systems (ICPSs) is being threatened by new types of attacks: Attackers carefully tamper with the measurement and control data transmitted over the network, causing the controlled systems to behave abnormally. The essence of such threats is operational safety issues induced by information security issues...Show More

Monitoring and Defense of Industrial Cyber-Physical Systems Under Typical Attacks: From a Systems and Control Perspective

Yuchen Jiang;Shimeng Wu;Renjie Ma;Ming Liu;Hao Luo;Okyay Kaynak

Year: 2023 | Volume: 1 | Journal Article |

Engineering Education at the Age of Industry 5.0

Okyay Kaynak

2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This presentation discusses the profound technological changes that have taken place around us during the last two decades, supported by the new disruptive advances both on the software and the hardware sides. In recent years, to change the whole format of industrial automation, these developments have been taken further, especially in Germany, under the label "Industry 4.0" that has recently evol...Show More

Engineering Education at the Age of Industry 5.0

Okyay Kaynak

Year: 2023 | Conference Paper |

Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems

Mingyi Huo;Hao Luo;Chao Cheng;Kuan Li;Shen Yin;Okyay Kaynak;Jiusi Zhang;Dejia Tang

IEEE Transactions on Industrial Electronics
Year: 2023 | Volume: 70, Issue: 9 | Journal Article |
Cited by: Papers (10)
Sensors are ubiquitous in automatized industrial systems. To ensure the safety of the process control, the fault diagnosis and fault-tolerant control of sensors is necessary. This article proposes subspace-aided sensor fault diagnosis and compensation control approaches based on the data-driven stable kernel representation (SKR) and stable image representation (SIR) identified by the process data ...Show More

Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems

Mingyi Huo;Hao Luo;Chao Cheng;Kuan Li;Shen Yin;Okyay Kaynak;Jiusi Zhang;Dejia Tang

Year: 2023 | Volume: 70, Issue: 9 | Journal Article |

Remaining Useful Life Prediction of Lithium-Ion Battery With Adaptive Noise Estimation and Capacity Regeneration Detection

Jiusi Zhang;Yuchen Jiang;Xiang Li;Hao Luo;Shen Yin;Okyay Kaynak

IEEE/ASME Transactions on Mechatronics
Year: 2023 | Volume: 28, Issue: 2 | Journal Article |
Cited by: Papers (93)
As an indispensable energy device, 18650 lithium-ion battery has widespread applications in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for the normal operation of electric vehicles. In conventional approaches, the adaptive estimation of model parameters and the detection of capacity regeneration await further research. To adaptively estimate the no...Show More

Remaining Useful Life Prediction of Lithium-Ion Battery With Adaptive Noise Estimation and Capacity Regeneration Detection

Jiusi Zhang;Yuchen Jiang;Xiang Li;Hao Luo;Shen Yin;Okyay Kaynak

Year: 2023 | Volume: 28, Issue: 2 | Journal Article |

A Distributed Closed-Loop Monitoring Approach for Interconnected Industrial Systems

Mingyi Huo;Hao Luo;Hao Wang;Yuchen Jiang;Shen Yin;Okyay Kaynak

IEEE Transactions on Industrial Electronics
Year: 2023 | Volume: 70, Issue: 7 | Journal Article |
Cited by: Papers (9)
As a result of informatization and wider use of connected intelligence, modern industry has evolved into being large scale. To overcome the inevitable shortcomings of centralized design in such cases, this article proposes a subspace-aided distributed closed-loop monitoring approach for interconnected systems. It only uses measurement information from local closed-loop subsystems. The residuals of...Show More

A Distributed Closed-Loop Monitoring Approach for Interconnected Industrial Systems

Mingyi Huo;Hao Luo;Hao Wang;Yuchen Jiang;Shen Yin;Okyay Kaynak

Year: 2023 | Volume: 70, Issue: 7 | Journal Article |

A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications

Keke Huang;Xinyi Liu;Fanbiao Li;Chunhua Yang;Okyay Kaynak;Tingwen Huang

IEEE Transactions on Artificial Intelligence
Year: 2023 | Volume: 4, Issue: 5 | Journal Article |
Cited by: Papers (11)
Edge computing is an indispensable technology in the Industry 4.0 era. The data are stored at the edge and transmission is prohibited due to concerns about data privacy. Thus, the traditional centralized data-driven modeling methods will face many difficulties and can hardly be used in practice. Federated learning aims to let local nodes learn a global model cooperatively while keeping their data ...Show More

A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications

Keke Huang;Xinyi Liu;Fanbiao Li;Chunhua Yang;Okyay Kaynak;Tingwen Huang

Year: 2023 | Volume: 4, Issue: 5 | Journal Article |

Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22)

Witold Kinsner;Okyay Kaynak;Haibin Zhu;Ming Hou;Julia Rayz;Marina Gavrilova;Guoyin Wang;George Baciu;Jun Peng;Christine W. Chan;Runhe Huang;Bowen Du

2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Basic research in Cognitive Informatics (CI) and Cognitive Computing (CC) provides fundamental theories of intelligence science for Autonomous AI (AAI) and cognitive systems. The field of CI and CC has led to general AI technologies triggered by the transdisciplinary advances in brain, intelligence, computer, knowledge, cognitive, robotic, and cybernetic sciences for engineering implementations. T...Show More

Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22)

Witold Kinsner;Okyay Kaynak;Haibin Zhu;Ming Hou;Julia Rayz;Marina Gavrilova;Guoyin Wang;George Baciu;Jun Peng;Christine W. Chan;Runhe Huang;Bowen Du

Year: 2022 | Conference Paper |

Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework

Yuchen Jiang;Shimeng Wu;Hongyan Yang;Hao Luo;Zhiwen Chen;Shen Yin;Okyay Kaynak

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2022 | Volume: 52, Issue: 12 | Journal Article |
Cited by: Papers (83)
Threats of cyberattacks have penetrated from disclosing critical user information to destroying/manipulating industrial control systems. Study on data security during network transmission has raised increasing attention in the systems and control community, which is found very necessary and timely in the context of Industry 4.0. In most existing approaches, the protection of the transmitted data f...Show More

Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework

Yuchen Jiang;Shimeng Wu;Hongyan Yang;Hao Luo;Zhiwen Chen;Shen Yin;Okyay Kaynak

Year: 2022 | Volume: 52, Issue: 12 | Journal Article |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.