Integrating Six-Step Model with Information Flow Diagrams for Comprehensive Analysis of Cyber-Physical System Safety and Security

2017 ◽  
Author(s):  
Giedre Sabaliauskaite ◽  
Sridhar Adepu
Keyword(s):  
Information Flow ◽  
Physical System ◽  
Comprehensive Analysis ◽  
Cyber Physical System ◽  
System Safety ◽  
Step Model ◽  
Flow Diagrams

Security Issues of CPS

2015 ◽  
pp. 140-160
Keyword(s):  
Control System ◽  
Information Flow ◽  
Physical System ◽  
Ad Hoc ◽  
System Security ◽  
Cyber Physical System ◽  
Ad Hoc Routing ◽  
Security Systems ◽  
Active Method ◽  
Security Issues

As cyber physical system security is not satisfactory, the security of a particular infrastructure depends on both internal and other related vulnerabilities. Communications between components in the cyber and physical realms lead to unintentional information flow. This chapter describes the difficult communications that occurs between the cyber and physical domains and their impact on security. Assailants may be competent to initiate exclusive attacks to cyber physical systems. There are several types of attacks that affect the interactions between the cyber and physical devices, which might be in a passive way or in an active method. Even though the communication provides authenticity and confidentiality, a few attacks form some threats against ad hoc routing protocols as well as location-based security systems. It has been said that many attacks modify the activities of the targeted control system.

scholarly journals Survivability Evaluation Method for Cascading Failure of Electric Cyber Physical System Considering Load Optimal Allocation

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Zhaoyang Qu ◽  
Yunchang Dong ◽  
Nan Qu ◽  
Lei Wang ◽  
Yang Li ◽  
...  
Keyword(s):  
Information Flow ◽  
Physical System ◽  
Power Flow ◽  
Evaluation Method ◽  
Optimal Allocation ◽  
Load Capacity ◽  
Evaluation Model ◽  
Coupled Systems ◽  
Cascading Failure ◽  
Cyber Physical System

The scale of the electric cyber physical system (ECPS) is continuously extending, and the existing cascade failure models ignore both the information flow and power flow transferring characteristics and also lack effective survivability analysis. In this paper, the quantitative evaluation method for cascading failure of ECPS survivability considering optimal load allocation is proposed. Firstly, according to the system topological structure and correlation, the degree-betweenness weighted correlation matrix of ECPS is established by defining the degree function as well as the electric betweenness, and the formal representation of coupled ECPS network model is realized. Secondly, based on the structural connectivity change and risk propagation range of ECPS cascade failure, the survivability evaluation model is designed by taking into account the constraints such as node load capacity limitation, information flow optimal allocation strategy, power flow optimization equation, and system safety operation. Finally, the firefly algorithm with chaotic Lévy flight is proposed to solve the evaluation model efficiently. The case study vividly shows that the evaluation method can effectively quantify the survivability of ECPS and thus enhance the evaluation efficiency of large-scale coupled systems.

scholarly journals An ontological metamodel for cyber-physical system safety, security, and resilience coengineering

2021 ◽  
Author(s):  
Georgios Bakirtzis ◽  
Tim Sherburne ◽  
Stephen Adams ◽  
Barry M. Horowitz ◽  
Peter A. Beling ◽  
...  
Keyword(s):  
System Design ◽  
Physical System ◽  
Oil And Gas ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Modeling Languages ◽  
System Safety ◽  
Physical Systems ◽  
Resilience Mechanisms ◽  
Pipeline Model

AbstractCyber-physical systems are complex systems that require the integration of diverse software, firmware, and hardware to be practical and useful. This increased complexity is impacting the management of models necessary for designing cyber-physical systems that are able to take into account a number of “-ilities”, such that they are safe and secure and ultimately resilient to disruption of service. We propose an ontological metamodel for system design that augments an already existing industry metamodel to capture the relationships between various model elements (requirements, interfaces, physical, and functional) and safety, security, and resilient considerations. Employing this metamodel leads to more cohesive and structured modeling efforts with an overall increase in scalability, usability, and unification of already existing models. In turn, this leads to a mission-oriented perspective in designing security defenses and resilience mechanisms to combat undesirable behaviors. We illustrate this metamodel in an open-source GraphQL implementation, which can interface with a number of modeling languages. We support our proposed metamodel with a detailed demonstration using an oil and gas pipeline model.

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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