{"title":"Secure bootstrapping for next-gen industrial automation systems","authors":"Sören Finster, Abdallah Dawoud, Florian Kohnhäuser, Abdulkadir Karaagac","doi":"10.1515/auto-2023-0074","DOIUrl":null,"url":null,"abstract":"Abstract The digitalization of industry and the convergence of IT and OT bring about the next generation of industrial automation systems which are expected to work with an orchestration of physical and virtualized components using a single converged network. The increase of complexity in such systems must be managed by an increase in automation for orchestration and management. However, bootstrapping such a complex system from out-of-the-box components is still a manual and error-prone process. We present a bootstrapping concept that brings up a system from out-of-the-box components to an operational solution with physical and virtualized components. The concept combines incremental network discovery with secure incremental bootstrapping of discovered physical components. The gained trust in the physical components of the network is then used to translate this trust into virtualized components. By attesting the trustworthiness of hosting infrastructure, the concept allows for virtualized components to be securely assigned a cryptographically secure identity that can be used in further application onboarding. Such securely bootstrapped systems are then capable to deliver the required adaptable, modular, and secure automation solutions of the future.","PeriodicalId":55437,"journal":{"name":"At-Automatisierungstechnik","volume":"71 1","pages":"748 - 758"},"PeriodicalIF":0.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"At-Automatisierungstechnik","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1515/auto-2023-0074","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract The digitalization of industry and the convergence of IT and OT bring about the next generation of industrial automation systems which are expected to work with an orchestration of physical and virtualized components using a single converged network. The increase of complexity in such systems must be managed by an increase in automation for orchestration and management. However, bootstrapping such a complex system from out-of-the-box components is still a manual and error-prone process. We present a bootstrapping concept that brings up a system from out-of-the-box components to an operational solution with physical and virtualized components. The concept combines incremental network discovery with secure incremental bootstrapping of discovered physical components. The gained trust in the physical components of the network is then used to translate this trust into virtualized components. By attesting the trustworthiness of hosting infrastructure, the concept allows for virtualized components to be securely assigned a cryptographically secure identity that can be used in further application onboarding. Such securely bootstrapped systems are then capable to deliver the required adaptable, modular, and secure automation solutions of the future.
期刊介绍:
Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology).
Topics
control engineering
digital measurement systems
cybernetics
robotics
process automation / process engineering
control design
modelling
information processing
man-machine interfaces
networked control systems
complexity management
machine learning
ambient assisted living
automated driving
bio-analysis technology
building automation
factory automation / smart factories
flexible manufacturing systems
functional safety
mechatronic systems.