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Application enabler Enabling cross‐domain applications Trustworthiness concern Potential impact on the physical world Urgent need for emphasis on security, privacy, safety, reliability, resilience, and assurance for pervasive interconnected devices and infrastructures Broad range of platform and algorithm complexity Accommodate a variety of computational models Variety of modes of communication From stand‐alone systems to highly networked systems May use legacy protocols or anything up to more object exchange protocols Heterogeneity Wide range of heterogeneous devices (sensors, controllers, control schemes, input sources, platforms, etc.) Complexity associated with the sensing and control loop(s) with feedback that are central to CPS must be well addressed in any design Co‐design Design of the hardware and the software jointly to inform tradeoffs between the cyber and physical components of the system Typically a time‐sensitive component Timing is a central architectural concern A bound may be required on a time interval, e.g. the latency between when a sensor measurement event occurred and the time at which the data was made available to the CPS Interaction with the operating environment CPS measure and sense and then calculate and act upon their environment, typically changing one or more of the observed properties (thus providing closed‐loop control) Typically a human environment CPS environment typically includes humans and humans function Architecture must support a variety of modes of human interaction: human as CPS controller or partner in control; human as CPS user; human as the consumer of CPS output; and human as the direct object of CPS to be measured and acted upon

      The CPS will provide the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas [NIST CPS].

      2.1.4 Cyber–Physical Systems Applications

      The vision is that CPS could improve many existing systems, such as robotic manufacturing systems; electric power generation and distribution; process control in chemical factories; distributed computer games; transportation of manufactured goods; heating, cooling, and lighting in buildings; people movers such as elevators; and bridges that monitor their own state of health. The impact of such improvements on safety, energy consumption, and the economy is potentially enormous. So modern businesses rely on CPS to accurately sync the real‐world status on backend systems and processes.

      CPS can be found extensively in multiple domains including the electricity sector [Parolini 2012]. CPS is seen as an integral part of the Smart Grid as discussed by Karnouskos in [Karnouskos 2011], [Karnouskos 2012]. The perspective of this researcher is that the Smart Grid will have to heavily depend on CPS that are able to monitor, share, and manage information and actions on the business as well as the physical power grid. Many traditional parts of the Smart Grid are increasingly CPS dominated. In generation, CPS control the connection to the network as well as the operational aspects in the electricity generation side such as solar and wind parks, hydro facilities, etc.

      CPS involve traditional IT as in the passage of data from sensors to the processing of those data in computation. CPS also involve traditional operational technology (OT) for control aspects and actuation. The combination of these IT and OT worlds along with associated timing constraints is a particularly new feature of CPS.

Schematic illustration of the components of CPS for smart transportation.

      Source: [Ling 2015]. © 2016, IEICE.

Schematic illustration of the simple structure of cyber–physical system.

      Generally, the structure for a CPS includes physical plant, computational platforms, and the network fabric. An application may use two networked platforms with their own sensors and/or actuators. The embedded computers interact with a physical plant through sensors and actuators and with each other through a network fabric. The action taken by the actuators affects the data provided by the sensors through the physical plant.

      As described in [Lee 2015b], the design of CPS, therefore, requires understanding the joint dynamics of computers, software, networks, and physical processes. The author argues that it is this study of joint dynamics that sets this CPS discipline apart. CPS is a discipline that combines engineering models and methods from mechanical, environmental, civil, electrical, biomedical, chemical, aeronautical, and industrial engineering with the models and methods of computer science. Therefore, there are theoretical and practical challenges in the design of CPS applications; among them security is an alarming concern that requires imperative investment.

      The term cybersecurity is associated with the security of the cyberspace, which was coined in a science fiction novel [Gibson 1984], as a futuristic computer network that people use by plugging their minds into it or the electronic medium of computer networks, in which online communication takes place. However, there are many definitions for cybersecurity and cyberspace that evolved over time. Many cyber terms are coming into vogue, and a few organizations have tried to include significant definitions that allow us to make useful distinctions when compared with existing terms. Thus, when searching for definitions of certain security concepts and terms, we find identical definitions (one glossary references another glossary), similar definitions, or definitions that are too short or too long, or missing.

      2.2.1 Cybersecurity Definitions

      The following is a sequence of definitions for cybersecurity and cyberspace as provided in known glossaries.

      Cybersecurity is the ability to protect or defend the use of cyberspace from cyber attacks [CNSSI 4009].

      Cybersecurity is the ability to protect or defend the use of cyberspace from cyber attacks [NISTIR 7298r2].

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