Topic
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.
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TL;DR: A Healthy Operator 4.0 concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology, and an implementation model was designed to facilitate the practical application of this concept in industry.
Abstract: Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to human–cyber–physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.
48 citations
TL;DR: A function-based methodology to evaluate smart grid resilience against cyber-physical attacks, a Bayesian Attack Graph for Smart Grid tool to compute the likelihood of the compromise of cyber components of the smart grid system, and risk analysis methodology which combines the results of the function- based methodology and BAGS to quantify risk.
Abstract: In this paper, we present a comprehensive study of smart grid security against cyber-physical attacks on its distinct functional components. We discuss: (1) a function-based methodology to evaluate smart grid resilience against cyber-physical attacks; (2) a Bayesian Attack Graph for Smart Grid (BAGS) tool to compute the likelihood of the compromise of cyber components of the smart grid system; (3) risk analysis methodology, which combines the results of the function-based methodology and BAGS to quantify risk for each cyber component of the smart grid; and (4) efficient resource allocation in the smart grid cyber domain using reinforcement learning (extension of BAGS tool) to compute optimal policies about whether to perform vulnerability assessment or patch a cyber system of the smart grid whose vulnerability has already been discovered. The results and analysis of these approaches help power engineers to identify failures in advance from one system component to another, develop robust and more resilient power systems and improve situational awareness and the response of the system to cyber-physical attacks. This work sheds light on the interdependency between the cyber domain and power grid and demonstrates that the security of both worlds requires the utmost attention. We hope this work assists power engineers to protect the grid against future cyber-physical attacks.
48 citations
TL;DR: The Design Science Research (DSR) methodology is used in this paper, encompassing international standards, the unified 5-level architecture, ontology, and dependability for failure analysis in mechanical components, and an ontology using the OWL 2 language was created.
48 citations
06 Sep 2018
TL;DR: This paper identifies and categorize systems that make up an autonomous ship, a generic system architecture is proposed, and the cyber security of the ship is analyzed by leveraging the STRIDE threat modeling methodology to identify potential cyber attacks, and to analyze the accordant risk.
Abstract: Autonomous ships transferring valuable cargoes and humans in a more efficient and cost effective manner will soon be state of the art technology. Yet, their ICT system architecture and operations have not been defined in full detail. Moreover, multiple cyber security issues remain open and should be addressed. No study to date has analyzed fully the architecture of the autonomous ship, even less so have potential cyber threats and cyber attacks been identified. In this paper we identify and categorize systems that make up an autonomous ship, we propose a generic system architecture, and we analyze the cyber security of the ship by leveraging the STRIDE threat modeling methodology to identify potential cyber attacks, and to analyze the accordant risk. The results will support ship designers and industry towards improving the autonomous ship system architecture and making ship operations more secure.
48 citations
TL;DR: Future trends in management and operation of assembly systems: from customized assembly systems to cyber-physical systems.
Abstract: Future trends in management and operation of assembly systems: from customized assembly systems to cyber-physical systems.
48 citations