scholarly journals PREDICTING SECURITY CRITICAL CONDITIONS OF CYBER PHYSICAL SYSTEMS WITH UNOBSERVABLES AND OBSERVATION TIMES

2018 ◽  
Author(s):  
Alessio Coletta
Keyword(s):  
Cyber Physical Systems ◽  
Critical Conditions ◽  
Physical Systems ◽  
Observation Times

scholarly journals Modeling of storage processes using Petri nets

2020 ◽  
Vol 175 ◽  
pp. 05038
Author(s):  
Marina Ganzhur ◽  
Nikita Dyachenko ◽  
Andrey Gazizov ◽  
Arthur Otakulov ◽  
Dmitry Romanov
Keyword(s):  
Information Security ◽  
Production Process ◽  
Scientific Community ◽  
Cyber Physical Systems ◽  
Critical Conditions ◽  
Classical Approach ◽  
Physical Systems ◽  
Security Breaches ◽  
Analysis And Synthesis ◽  
Storage Processes

Cyber-physical systems are actively explored in the global and domestic scientific community. It is expected that cyber-physical systems will minimize human participation in the production process, as well as in many other areas of society. At the same time, the information security aspect of the interaction of elements remains insufficiently studied. The classical approach to ensuring security is aimed at counteracting a clear destructive information impact - when information security breaches have obvious signs. The risk of failure of one object of the system can lead to critical conditions. Safety modeling of managerial structures is reduced to considering the operability of the functions of the intermediate link and the interaction between objects that make decisions on the management and generating teams. By analyzing these transitions in limiting cases, it allows the use of analysis and synthesis approaches based on structural schemes and logical relationships.

scholarly journals Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications

2021 ◽  
Vol 15 ◽  
Author(s):  
Khalida Douibi ◽  
Solène Le Bars ◽  
Alice Lemontey ◽  
Lipsa Nag ◽  
Rodrigo Balp ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Digital Tools ◽  
Computer Interface ◽  
Critical Conditions ◽  
Disabled People ◽  
Physical Systems ◽  
Non Invasive ◽  
Industrial Performance ◽  
Novel Applications

In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly on clinical applications, notably to enable severely disabled people to interact with the environment. However, recent studies rely mostly on the use of non-invasive electroencephalographic (EEG) devices, suggesting that BCI might be ready to be used outside laboratories. In particular, Industry 4.0 is a rapidly evolving sector that aims to restructure traditional methods by deploying digital tools and cyber-physical systems. BCI-based solutions are attracting increasing attention in this field to support industrial performance by optimizing the cognitive load of industrial operators, facilitating human-robot interactions, and make operations in critical conditions more secure. Although these advancements seem promising, numerous aspects must be considered before developing any operational solutions. Indeed, the development of novel applications outside optimal laboratory conditions raises many challenges. In the current study, we carried out a detailed literature review to investigate the main challenges and present criteria relevant to the future deployment of BCI applications for Industry 4.0.

scholarly journals Tool for Risk-Based Operation of Socio-Cyber-Physical Systems

2021 ◽  
Vol 2 (4) ◽  
pp. 20-28
Author(s):  
Dana Prochazkova
Keyword(s):  
Risk Management ◽  
Preventive Measures ◽  
Management Plan ◽  
Cyber Physical Systems ◽  
Life Cycles ◽  
Critical Conditions ◽  
Human Society ◽  
Dynamic Changes ◽  
Systems Of Systems ◽  
Physical Systems

The human’s lives are strongly dependent on operation of socio-cyber-physical systems that create vitally infrastructure of human society system. These systems are complex systems, which have form “systems of systems”. Due to complexity, these systems are threatening not only by risks influencing their elements, but also with risks connected with uncomfortable links and flows among elements, which occur at critical conditions due to occurrence of unexpected interdependences. The aim of risk management of socio-cyber-physical systems at operation is the integral safety which ensures their co-existence with their vicinity throughout their life cycles. On the basis of present knowledge and experience, part of risks that threaten socio-cyber-physical systems is coped by preventive measures during their designing and manufacturing. Due to dynamic changes of the world, the conditions of socio-cyber-physical systems at operations change. If changes exceed the socio-cyber-physical systems´ safety limits which were inserted into their designs, the accidents or socio-physical -cyber-physical systems´ failures occur. The presented risk management plan is tool which ensures the correct response to such unaccepted situations and fast ensuring the safety.

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.

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

Models of decision support in socio-cyber-physical systems

2019 ◽  
pp. 55-70 ◽  
Author(s):  
A. V. Smirnov ◽  
T. V. Levashova
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Situation Awareness ◽  
Cyber Physical Systems ◽  
Emergent Behavior ◽  
Emergent Properties ◽  
Decision Making Process ◽  
Physical Systems ◽  
Decision Support Models ◽  
Common Goals

Introduction: Socio-cyber-physical systems are complex non-linear systems. Such systems display emergent properties. Involvement of humans, as a part of these systems, in the decision-making process contributes to overcoming the consequences of the emergent system behavior, since people can use their experience and intuition, not just the programmed rules and procedures.Purpose: Development of models for decision support in socio-cyber-physical systems.Results: A scheme of decision making in socio-cyber-physical systems, a conceptual framework of decision support in these systems, and stepwise decision support models have been developed. The decision-making scheme is that cybernetic components make their decisions first, and if they cannot do this, they ask humans for help. The stepwise models support the decisions made by components of socio-cyber-physical systems at the conventional stages of the decision-making process: situation awareness, problem identification, development of alternatives, choice of a preferred alternative, and decision implementation. The application of the developed models is illustrated through a scenario for planning the execution of a common task for robots.Practical relevance: The developed models enable you to design plans on solving tasks common for system components or on achievement of common goals, and to implement these plans. The models contribute to overcoming the consequences of the emergent behavior of socio-cyber-physical systems, and to the research on machine learning and mobile robot control.

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