Communication patterns for Cyber-Physical Systems

Henneke, Dominik; Elattar, Mohammad; Jasperneite, Jürgen

doi:10.1109/etfa.2015.7301623

Cited by 13 publications

(3 citation statements)

References 5 publications

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“…SOA approaches can help to fulfil these requirements [15]. SOA is meant to provide services through a set of black box components exposing interfaces based on communication services [16]. In the field of modular control systems, single modules can be represented by such black box components, aimed at accomplishing functions by encapsulating services.…”

Section: State Of the Artmentioning

confidence: 99%

Knowledge Based Modules for Adaptive Distributed Control Systems

Ballarino

Brusaferri

Cesta

et al. 2019

Factories of the Future

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Modern automation systems are asked to provide a step change toward flexibility and reconfigurability to cope with increasing demand for fast changing and highly fragmented production-which is more and more characterising the manufacturing sector. This reflects in the transition from traditional hierarchical and centralised control architecture to adaptive distributed control systems, being the latter capable of exploiting also knowledge-based strategies toward collaborating behaviours. The chapter intends to investigate such topics, by outlining major challenges and proposing a possible approach toward their solution, founded on autonomous, self-declaring, knowledge-based and heterarchically collaborating control modules. The benefits of the proposed approach are discussed and demonstrated in the field of re-manufacturing of electronic components, with specific reference to a pilot plant for the integrated End-Of-Life management of mechatronic products. 4.1 Scientific and Industrial Motivations Since several years, the manufacturing industry has been facing a number of technological and production challenges related to the increasing variability of mix and demand of products driven by a short product life cycle. Nevertheless, the growing industrial demand for increased levels of reconfigurability-having impact both in production process automation, supervision and data collection and aggregation systems-is not properly fulfilled, mainly due to the lack of widely accepted solutions

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Section: State Of the Artmentioning

confidence: 99%

Knowledge Based Modules for Adaptive Distributed Control Systems

Ballarino

Brusaferri

Cesta

et al. 2019

Factories of the Future

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“…Several authors have attempted to document patterns and best practices related to distributed CPS [6,8,10,14]. However, these works focus on applying published patterns or scientific results.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Support for Data Integration in Cyber-Physical-System Architectures

Ntentos,

Amiri,

Warnett

et al. 2023

Lecture Notes in Computer Science

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Cyber-Physical Systems (CPS) design is a complex challenge involving physical and digital components working together to accomplish a specific goal. Integrating such systems involves combining data from various distributed Internet of Things (IoT) devices and cloud services to create meaningful insights and actions. Service-based IoT data integration involves several steps: collection, processing, analysis, and visualization. Adopting a holistic approach that considers physical and digital aspects is crucial when designing data integration in distributed CPS. Architectural design decisions are vital in shaping a CPS' functionality and system qualities, such as performance, security, and reliability. Although several patterns and practices for CPS architecture have been proposed, much of the knowledge in this area is informally discussed in the grey literature, e.g., in practitioner blogs and system documentation. As a result, this architectural knowledge is dispersed across many sources that are often inconsistent and based on personal experience. In this study, we present the results of a qualitative, in-depth study of the best practices and patterns of distributed CPS architecture as described by practitioners. We have developed a formal architecture decision model using a model-based qualitative research method. We aim to bridge the science-practice gap, enhance comprehension of practitioners' CPS approaches, and provide decision-making support.

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“…В настоящее время огромное внимание уделяется киберфизическим системам (КФС) [1] и их частным реализациям в виде умного города, умного дома, интернета вещей, которые позволяют автоматизировать производственные, бытовые и другие процессы. Одним из подходов, который используется для организации межмашинной коммуникации в КФС, является модель передачи данных «издатель-подписчик» [2]. Данная модель позволяет организовать передачу показателей датчиков и данных исполнительных устройств одновременно целой группе получателей.…”

Section: Introductionunclassified

DoS attack detection method on application layer for publish-subscribe networks

Dikii

2020

ICS

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Introduction: For the development of cyberphysical systems, new technologies and data transfer protocols are being developed, in order to reduce the energy costs of communication devices. One of the modern approaches to data transmission in cyberphysical systems is the publish-subscribe model, which is subject to a denial-of-service attack. Purpose: Development of a model for detecting a DoS attack implemented at the application level of publish-subscribe networks based on the analysis of their traffic using machine learning methods. Results: A model is developed for detecting a DoS attack, operating with three classifiers depending on the message type: connection, subscription, and publication. This approach makes it possible to identify the source of an attack. That can be a network node, a particular device, or a user account. A multi-layer perceptron, the random forest algorithm, and a support vector machine of various configurations were considered as classifiers. Training and test data sets were generated for the proposed feature vector. The classification quality was evaluated by calculating the F1 score, the Matthews correlation coefficient, and accuracy. The multilayer perceptron model and the support vector machine with a polynomial kernel and SMO optimization method showed the best values of all metrics. However, in the case of the support vector machine, a slight decrease in the prediction quality was detected when the width of the traffic analysis window was close to the longest period of sending legitimate messages from the training data set. Practical relevance: The results of the research can be used in the development of intrusion detection features for cyberphysical systems using the publish-subscribe model, or other systems based on the same approach

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Communication patterns for Cyber-Physical Systems

Cited by 13 publications

References 5 publications

Knowledge Based Modules for Adaptive Distributed Control Systems

Knowledge Based Modules for Adaptive Distributed Control Systems

Decision-Making Support for Data Integration in Cyber-Physical-System Architectures

DoS attack detection method on application layer for publish-subscribe networks

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