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Cyber-physical system

About: Cyber-physical system is a research topic. Over the lifetime, 11096 publications have been published within this topic receiving 162489 citations. The topic is also known as: CPS.


Papers
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Journal ArticleDOI
01 Jan 2021
TL;DR: A new privacy-preserving anomaly detection framework, so-called PPAD-CPS, is proposed for protecting confidential information and discovering malicious observations in power systems and their network traffic and outperforms seven peer anomaly detection techniques in terms of detection rate, false positive rate, and computational time.
Abstract: Protecting Cyber-physical Systems (CPSs) is highly important for preserving sensitive information and detecting cyber threats. Developing a robust privacy-preserving anomaly detection method requires physical and network data about the systems, such as Supervisory Control and Data Acquisition (SCADA), for protecting original data and recognising cyber-attacks. In this paper, a new privacy-preserving anomaly detection framework, so-called PPAD-CPS, is proposed for protecting confidential information and discovering malicious observations in power systems and their network traffic. The framework involves two main modules. First, a data pre-processing module is suggested for filtering and transforming original data into a new format that achieves the target of privacy preservation. Second, an anomaly detection module is suggested using a Gaussian Mixture Model (GMM) and Kalman Filter (KF) for precisely estimating the posterior probabilities of legitimate and anomalous events. The performance of the PPAD-CPS framework is assessed using two public datasets, namely the Power System and UNSW-NB15 dataset. The experimental results show that the framework is more effective than four recent techniques for obtaining high privacy levels. Moreover, the framework outperforms seven peer anomaly detection techniques in terms of detection rate, false positive rate, and computational time.

82 citations

Journal ArticleDOI
TL;DR: In this paper, the UML model of the software part of the system is extracted from the SysML system model and it is then refined to get the implementation code, and two implementation alternatives are considered to exploit both PLCs and the recent deluge of embedded boards in the market.

82 citations

Journal ArticleDOI
TL;DR: A concept for the automated creation of a digital twin of a body-in-white production system based on current resources, products as well as process information from the cyber-physical system is presented.

82 citations

Journal ArticleDOI
TL;DR: An object-oriented workflow language for formalizing processes within heterogeneous and dynamic environments that enables the hierarchical composition of processes and process variants and the use of semantic technologies for smart workflows is presented.

82 citations

Journal ArticleDOI
13 May 2012
TL;DR: The cyber-physical world of the future will be both very different and very welcome.
Abstract: Cyber-physical systems (CPSs) couple the cyber aspects of computing and communications tightly with the dynamics and physics of physical systems operating in the world around us. This emerging multidisciplinary frontier will enable revolutionary changes in the way humans live. Just like the Internet has transformed how national economies are intertwined, how humans interact, and how commerce is conducted, CPSs will transform how humans interact with and control the physical environment to the greater benefit of society. Major economic sectors that will see dramatic advances will include transportation, energy, buildings, healthcare, manufacturing, physical infrastructure, agriculture, and defense among others. The CPS community will comprise computer scientists, engineers of all stripes as well as many biologists, chemists, and physicians. The arts will also leverage the innovations of CPSs and inspire even more novel inventions in the scientific and engineering realms that combine the world of computing with the physical world. In short, the cyber-physical world of the future will be both very different and very welcome.

81 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023831
20221,955
20211,283
20201,586
20191,576
20181,441