A unified framework for the design of distributed cyber-physical systems - industrial automation example

2015 ◽  
Author(s):  
Suraksha S. Setty ◽  
Humaa Yaqoob ◽  
Avinash Malik ◽  
Kevin I-Kai Wang ◽  
Zoran Salcic ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Unified Framework ◽  
Industrial Automation ◽  
Physical Systems

Nonlinear Granger causality graph method for data-driven target attack in power cyber-physical systems

2020 ◽  
pp. 014233122093820
Author(s):  
Qinxue Li ◽  
Bugong Xu ◽  
Shanbin Li ◽  
Yonggui Liu ◽  
Xuhuan Xie
Keyword(s):  
Granger Causality ◽  
Information And Communication Technologies ◽  
Measurement Data ◽  
Noise Removal ◽  
Cyber Physical Systems ◽  
Cyber Attacks ◽  
Data Driven ◽  
Unified Framework ◽  
Nonlinear Simulation ◽  
Physical Systems

Owing to the deep integration of the information and communication technologies, power cyber-physical systems (CPSs) have become smart but are vulnerable to cyber attacks. To correctly assess the vulnerability of power CPSs and further study feasible countermeasures, we verify that a data-driven target attack on a nonlinear Granger causality graph (NGCG) can be constructed successfully, even if adversaries cannot acquire the configuration information of the systems. A NGCG is a unified framework for the processing and analysis of nonlinear measurement data or datasets and can be used to evaluate the significance of power nodes or lines. In addition, an algorithm including data-driven parameter estimation, noise removal and data reconstruction based on symplectic geometry is introduced to make the NGCG a parameter-free and noise-tolerant method. In particular, three new indexes on the weight analysis of the NGCG are defined to quantitatively evaluate the significance of power nodes or lines. Finally, several case studies of a nonlinear simulation model and power systems in detail verify the effectiveness and superiority of the proposed data-driven target attack. The results show the proposed target attack can select the key attack targets more accurately and lead to physical system collapse with the least number of attack steps.

scholarly journals Teaching Cyber-Physical Systems

2017 ◽  
Vol 139 (03) ◽  
pp. S3-S8 ◽  
Author(s):  
Edwin Zivi
Keyword(s):  
Systems Engineering ◽  
Cyber Security ◽  
Engineering Students ◽  
Cyber Physical Systems ◽  
Naval Academy ◽  
Unified Framework ◽  
Industrial Control ◽  
Seamless Integration ◽  
Physical Systems ◽  
Engineered Systems

This article discusses various aspects of a course on cyber-physical systems (CPS) in the educational programs of defense organizations. CPS are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. The article also highlights various objectives of the CPS course. A central challenge to deploying resilient CPSs involves the appreciation for the multi-disciplinary challenges and the lack of a unified framework for CPS analysis, design and implementation. A significant part of the course focuses on a case study in industrial control of a Vinyl Acetate (VAc) chemical plant. The course described herein presents fundamental concepts within the rapidly expanding field of CPS and has been tailored to and is well received by U.S. Naval Academy Systems Engineering senior level engineering students. The U.S. Naval Academy thrust in cyber security studies includes a new major, Cyber Sciences, and construction of a new facility, Hopper Hall, to house the assembled multi-disciplinary teaching and research team.

Industrial Automation Using Mobile Cyber Physical Systems

2022 ◽  
pp. 132-159
Author(s):  
Thangavel M. ◽  
Abhijith V. S. ◽  
Sudersan S.
Keyword(s):  
Deep Learning ◽  
Automobile Industry ◽  
Cyber Physical Systems ◽  
Manufacturing Industries ◽  
Control Mechanisms ◽  
Industrial Automation ◽  
Physical Systems

In recent years, the rise in the demand for quality products and services along with systems that could integrate the control mechanisms with high computational capabilities led to the evolution of cyber-physical systems (CPS). Due to the ongoing COVID-19 pandemic, several industries have remained closed, causing several monetary losses. Automation can help in such scenarios to keep the industries up and running in a way that the system could be monitored and controlled remotely using voice. The chapter deals with the integration of both industrial automation and cyber-physical systems in various industries like the automobile industry, manufacturing industries, construction industries, and so on. A proposed approach for machine handling using CPS, deep learning, and industrial automation with the help of voice. The proposed approach provides greater insights into the application of CPS in the area and the combination of CPS and deep learning to a greater extent.

Emerging Cyber-Physical Systems : An Overview

2018 ◽  
pp. 306-316
Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B
Keyword(s):  
Health Care ◽  
Economic Benefit ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Economic Sectors ◽  
Strategic Research ◽  
Physical Systems ◽  
Security Issues ◽  
Wide Range

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.

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