scholarly journals Scalable Emulated Framework for IoT Devices in Smart Logistics Based Cyber-Physical Systems: Bonded Coverage and Connectivity Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 138350-138372 ◽  
Author(s):  
Arbab Waseem Abbas ◽  
Safdar Nawaz Khan Marwat
Keyword(s):  
Cyber Physical Systems ◽  
Connectivity Analysis ◽  
Physical Systems ◽  
Smart Logistics ◽  
Coverage And Connectivity ◽  
Iot Devices

Adoption of Machine Learning With Adaptive Approach for Securing CPS

2020 ◽  
pp. 388-415
Author(s):  
Rama Mercy Sam Sigamani
Keyword(s):  
Machine Learning ◽  
Cyber Security ◽  
Smart Grids ◽  
False Negative ◽  
False Negative Rate ◽  
Cyber Physical Systems ◽  
Detection Accuracy ◽  
Physical Systems ◽  
Positive Rate ◽  
Iot Devices

The cyber physical system safety and security is the major concern on the incorporated components with interface standards, communication protocols, physical operational characteristics, and real-time sensing. The seamless integration of computational and distributed physical components with intelligent mechanisms increases the adaptability, autonomy, efficiency, functionality, reliability, safety, and usability of cyber-physical systems. In IoT-enabled cyber physical systems, cyber security is an essential challenge due to IoT devices in industrial control systems. Computational intelligence algorithms have been proposed to detect and mitigate the cyber-attacks in cyber physical systems, smart grids, power systems. The various machine learning approaches towards securing CPS is observed based on the performance metrics like detection accuracy, average classification rate, false negative rate, false positive rate, processing time per packet. A unique feature of CPS is considered through structural adaptation which facilitates a self-healing CPS.

scholarly journals Model-driven development of asynchronous message-driven architectures with AsyncAPI

2021 ◽  
Author(s):  
Abel Gómez ◽  
Markel Iglesias-Urkia ◽  
Lorea Belategi ◽  
Xabier Mendialdua ◽  
Jordi Cabot
Keyword(s):  
Cyber Physical Systems ◽  
Complex Data ◽  
Previous Knowledge ◽  
Physical Systems ◽  
Everyday Objects ◽  
Model Driven ◽  
Design And Implementation ◽  
Industrial Iot ◽  
Iot Devices ◽  
The Internet Of Things

AbstractIn the Internet-of-Things (IoT) vision, everyday objects evolve into cyber-physical systems. The massive use and deployment of these systems has given place to the Industry 4.0 or Industrial IoT (IIoT). Due to its scalability requirements, IIoT architectures are typically distributed and asynchronous. In this scenario, one of the most widely used paradigms is publish/subscribe, where messages are sent and received based on a set of categories or topics. However, these architectures face interoperability challenges. Consistency in message categories and structure is the key to avoid potential losses of information. Ensuring this consistency requires complex data processing logic both on the publisher and the subscriber sides. In this paper, we present our proposal relying on AsyncAPI to automate the design and implementation of these asynchronous architectures using model-driven techniques for the generation of (part of) message-driven infrastructures. Our proposal offers two different ways of designing the architectures: either graphically, by modeling and annotating the messages that are sent among the different IoT devices, or textually, by implementing an editor compliant with the AsyncAPI specification. We have evaluated our proposal by conducting a set of experiments with 25 subjects with different expertise and background. The experiments show that one-third of the subjects were able to design and implement a working architecture in less than an hour without previous knowledge of our proposal, and an additional one-third estimated that they would only need less than two hours in total.

scholarly journals Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures

2021 ◽  
Vol 7 ◽  
pp. e787
Author(s):  
José Roldán-Gómez ◽  
Juan Boubeta-Puig ◽  
Gabriela Pachacama-Castillo ◽  
Guadalupe Ortiz ◽  
Jose Luis Martínez
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Cyber Physical Systems ◽  
Security Attacks ◽  
Physical Systems ◽  
The Real ◽  
Real Time Detection ◽  
Iot Devices ◽  
Definition Of ◽  
The Internet Of Things

The Internet of Things (IoT) paradigm keeps growing, and many different IoT devices, such as smartphones and smart appliances, are extensively used in smart industries and smart cities. The benefits of this paradigm are obvious, but these IoT environments have brought with them new challenges, such as detecting and combating cybersecurity attacks against cyber-physical systems. This paper addresses the real-time detection of security attacks in these IoT systems through the combined used of Machine Learning (ML) techniques and Complex Event Processing (CEP). In this regard, in the past we proposed an intelligent architecture that integrates ML with CEP, and which permits the definition of event patterns for the real-time detection of not only specific IoT security attacks, but also novel attacks that have not previously been defined. Our current concern, and the main objective of this paper, is to ensure that the architecture is not necessarily linked to specific vendor technologies and that it can be implemented with other vendor technologies while maintaining its correct functionality. We also set out to evaluate and compare the performance and benefits of alternative implementations. This is why the proposed architecture has been implemented by using technologies from different vendors: firstly, the Mule Enterprise Service Bus (ESB) together with the Esper CEP engine; and secondly, the WSO2 ESB with the Siddhi CEP engine. Both implementations have been tested in terms of performance and stress, and they are compared and discussed in this paper. The results obtained demonstrate that both implementations are suitable and effective, but also that there are notable differences between them: the Mule-based architecture is faster when the architecture makes use of two message broker topics and compares different types of events, while the WSO2-based one is faster when there is a single topic and one event type, and the system has a heavy workload.

Challenges and Applications of Cyber Physical Systems

2021 ◽  
pp. 1-17
Author(s):  
Rachna Jain
Keyword(s):  
Social Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Smart Systems ◽  
Smart Building ◽  
Out Of The Loop ◽  
System Robustness ◽  
Networking Technologies ◽  
Iot Devices ◽  
Adaptation Ability

Cyber physical systems integrate actuators or sensors with networking technologies. Latest innovations in the area lead to cyber social systems or cyber physical social systems. Industry 4.0 amalgamates all major technologies including internet of things, big data, cloud computing, and smart systems under CPS. Cyber physical systems comprise of physical layer devices connected to the internet. It has vast applications in the areas like manufacturing, healthcare, energy, automation, robotics, smart building, meteorology, and transportation. Cyber and physical components interaction, training and adaptation ability, interoperability using IoT devices, information security using firewalls and cryptosystems, system robustness, and intervention of human inside and out of the loop are the major focusing areas in any CPS. In this chapter, application areas and challenges faced by cyber physical systems are discussed in detail.

Lightweight Misbehavior Detection Management of Embedded IoT Devices in Medical Cyber Physical Systems

2020 ◽  
Vol 17 (4) ◽  
pp. 2496-2510 ◽  
Author(s):  
Gaurav Choudhary ◽  
Philip Virgil Astillo ◽  
Ilsun You ◽  
Kangbin Yim ◽  
Ing-Ray Chen ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Misbehavior Detection ◽  
Iot Devices

scholarly journals Assembling the Web of Things and Microservices for the Management of Cyber-Physical Systems

2021 ◽  
Vol 27 (7) ◽  
pp. 734-754
Author(s):  
Manel Mena ◽  
Javier Criado ◽  
Luis Iribarne ◽  
Antonio Corral
Keyword(s):  
Internet Of Things ◽  
Implementation Strategies ◽  
Cyber Physical Systems ◽  
Interaction Patterns ◽  
Physical Systems ◽  
Web Of Things ◽  
Digital Twins ◽  
Iot Devices ◽  
Definition Of ◽  
The Web

Cyber-Physical Systems (CPS) and Internet of Things (IoT) devices are handled by numerous different protocols. The management and connection to those devices tend to create usability and integrability issues. This brings about the need for a solution capable of facilitating the communication between different platforms and devices. The Web of Things (WoT) describes interfaces and interaction patterns among things, thereby abstracting itself from the underlying protocols used to manage those things and their implementation strategies. This paper describes the concept of Digital Dice, an abstraction of IoT devices and CPS capable of leveraging the advantages of microservices architectures and inspired by the concept of Digital Twins. A Digital Dice is a servient system of the WoT domain that represents a device by the features of the device, hence different WoT description models result in different microservices related to the particular thing. The paper explores the definition of Digital Dices and the conversion between WoT Thing Description Models and Digital Dices and the architecture that sustains the system.

scholarly journals Privacy and Security for Resource-Constrained IoT Devices and Networks: Research Challenges and Opportunities

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1935 ◽  
Author(s):  
Shancang Li ◽  
Houbing Song ◽  
Muddesar Iqbal
Keyword(s):  
Cyber Physical Systems ◽  
Resource Constrained ◽  
Privacy And Security ◽  
Physical Systems ◽  
Iot Applications ◽  
Wide Range ◽  
Challenges And Opportunities ◽  
Iot Devices ◽  
Application Requirements ◽  
The Internet Of Things

With the exponential growth of the Internet of Things (IoT) and cyber-physical systems (CPS), a wide range of IoT applications have been developed and deployed in recent years. To match the heterogeneous application requirements in IoT and CPS systems, many resource-constrained IoT devices are deployed, in which privacy and security have emerged as difficult challenges because the devices have not been designed to have effective security features.

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