Migration of industrial process control systems to service-oriented architectures

Carlsson, Oscar; Delsing, Jerker; Arrigucci, Fredrik; Colombo, Armando Walter; Bangemann, Thomas; Nappey, Philippé

doi:10.1080/0951192x.2017.1392615

Cited by 12 publications

(8 citation statements)

References 30 publications

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“…The extracted MSIs (51 MSIs) from ISA/IEC 62443 series are documented in Github. 3 The security standard from where the MSIs are extracted do not provide technical implementation details or monitoring possibilities for device, system, and service layer. A detailed MSI documentation is necessary to understand and monitor each metric.…”

Section: Measurable Security Indicators (Msis)mentioning

confidence: 99%

“…The migration of industrial control systems (ICSs) from isolated to remotely accessible is motivated by the need to enable remote maintenance, control, firmware update, data collection, and new sources of data to improve automation [1], [3]. However, the intermix of devices, systems, and services in industrial environments makes it more difficult to maintain security, including confidentiality, integrity, and availability [4].…”

Section: Introductionmentioning

confidence: 99%

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Security Standard Compliance Verification in System of Systems

Bicaku

Zsilak

Theiler

et al. 2022

IEEE Systems Journal

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Standard compliance in system of systems (SoS) means complying with standards, laws, and regulations that apply to services from several sources and different levels. Compliance is a major challenge in many organizations because any violation will lead to financial penalties, lawsuits fines, or revocation of licenses to operate within specific industrial market. To support the business lifecycle, organizations also need to monitor the actual processes during run time and not only in their design time. Standard compliance verification is important in the lifecycle for reasons, such as detection of noncompliance as well as operational decisions of running processes. With the promotion of connectivity of systems, existing and new security standards can be employed but there are important aspects, such as technically measurable indicators, in the standards and automation of compliance verification that need to be addressed. This article presents an automated and continuous standard compliance verification framework used to check devices, systems, and services for standard compliance during secure onboarding and run time. In addition, a case study for the Eclipse Arrowhead framework is used to demonstrate the functionality of the standard compliance verification in SoS.

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Section: Measurable Security Indicators (Msis)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Security Standard Compliance Verification in System of Systems

Bicaku

Zsilak

Theiler

et al. 2022

IEEE Systems Journal

Self Cite

View full text Add to dashboard Cite

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“…The increasing heterogeneity and complexity of manufacturing systems have highlighted the limitations of classical architectures. The smart manufacturing applications require a migration from the traditional ISA-95 layered architecture to a more flexible and interoperable architecture [20]. An approach is needed to support the evolution of the monolithic automation pyramid into flexible architectures maintaining support for existing legacy systems with an enhanced integration strategy.…”

Section: Integration Framework and Architecturesmentioning

confidence: 99%

A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems

2021

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The potential benefits of the adoption of cyber-physical production systems (CPPSs) and their significant role in enabling smart manufacturing is well recognized today. However, it is less clear how such CPPS can be most effectively and consistently engineered and maintained throughout their lifecycle due to the existing divide in the information technology (IT) and operational technology (OT) landscape and ad hoc integration practices that result in inconsistent data and data models at various levels of manufacturing processes. The work presented in this article addresses this problem by envisioning a connective framework to support the engineering of CPPS through the use of a set of digital twins consistent with the real system throughout its lifecycle, not just used in the design and deployment phases. A review of the latest perspectives on using digital integration frameworks, methods, and solutions for lifecycle engineering of CPPS is provided in this article. This article demonstrates how a suitable framework, named SIMPLE, can be realized to effectively address the lack of consistent data models throughout the engineering lifecycle, including implementation details and example cases developed by the authors at the Warwick Manufacturing Group (WMG) in selected industrial Manuscript

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“…The middleware's virtualization layer enables the architecture to support pervasive data access and management. In [83], the authors suggest another service oriented architecture, targeting structured migration of process control systems. The argue that although today's control systems are typically structured in a hierarchical manner, there are nevertheless non-resolved challenges with respect to various fundamental migration functionalities.…”

Section: B Architectures Focusing On Iiot / Icps and Wsanmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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Migration of industrial process control systems to service-oriented architectures

Cited by 12 publications

References 30 publications

Security Standard Compliance Verification in System of Systems

Security Standard Compliance Verification in System of Systems

A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems

Data Management in Industry 4.0: State of the Art and Open Challenges

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