Change search
Link to record
Permanent link

Direct link
BETA
Publications (10 of 238) Show all publications
Nilsson, J., Sandin, F. & Delsing, J. (2019). Interoperability automation considered as machine learning tasks. In: : . Paper presented at 2nd Productive4.0 Consortium Conference, Budapest, March 12-14, 2019.
Open this publication in new window or tab >>Interoperability automation considered as machine learning tasks
2019 (English)Conference paper, Poster (with or without abstract) (Other academic)
Keywords
Interoperability, machine learning, optimization, translation, semantics
National Category
Other Computer and Information Science
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-73578 (URN)
Conference
2nd Productive4.0 Consortium Conference, Budapest, March 12-14, 2019
Funder
EU, Horizon 2020, 737459
Available from: 2019-04-11 Created: 2019-04-11 Last updated: 2019-04-11
Derhamy, H., Eliasson, J. & Delsing, J. (2019). System of System Composition based on Decentralized Service Oriented Architecture. IEEE Systems Journal
Open this publication in new window or tab >>System of System Composition based on Decentralized Service Oriented Architecture
2019 (English)In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234Article in journal (Refereed) Epub ahead of print
Abstract [en]

As society has progressed through periods of evolution and revolution, technology has played a key role as an enabler. In the same manner, mechanical machines of the 1800s drove the industrial revolution, now digitalized machines are driving another industrial revolution. Manufacturers are increasing the digital footprint on the factory floor. It is challenging to harness the vast amounts of data generated, stored, analyzed, archived, and returned. Data centralization has several well-known challenges, such as collection bottlenecks, secure retrieval, single point of failure, and data scheme fragility as data heterogeneity increases. This paper proposes a method of information distribution based on the principle of data at its source. It proposes that contextual data be used at runtime through the creation of dynamic queries that build compositions of different systems. Such system of systems (SoS) compositions handle the flow of data across its life cycle and present it as information to the initiating system. The proposal starts by creating a graph model of the Arrowhead framework. Then, building on the graph model, the query-based approach for specifying, validating, and forming the SoS is proposed. The proposed graph model allows for unambiguous description of systems and their interrelations, including security relations. The proposed composer operates on the edge computing hardware and gives the production floor the ability to extract information without impacting the overall operation of the factory.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Arrowhead framework (AF), edge computing, graph theory, Hypermedia as the engine of application state (HATEOAS), industrial Internet of Things (IIoT), information centric networking, RAMI4.0, RESTful, service-oriented architecture, system of systems (SoS), systems theory
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-68462 (URN)10.1109/JSYST.2019.2894649 (DOI)
Available from: 2018-04-23 Created: 2018-04-23 Last updated: 2019-03-01
Kolluru, K. K., Paniagua, C., van Deventer, J., Eliasson, J., Delsing, J. & DeLong, R. J. (2018). An AAA Solution for Securing Industrial IoT Devices using Next Generation Access Control. In: : . Paper presented at 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University, Saint Petersburg, Russian Federation, 15-18 May 2018 (pp. 737-742). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>An AAA Solution for Securing Industrial IoT Devices using Next Generation Access Control
Show others...
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 is advancing the use of Internet of Things (IoT) devices in industrial applications, which enablesefficient device-to-device (D2D) communication. However, these devices are often heterogeneous in nature, i.e. from different manufacturers, use different protocols, etc. and adds requirements such as security, interoperability, etc.To address these requirements, the Service-Oriented Architecture-Based (SOA) Arrowhead Framework was previously proposed using the concept of local clouds. These local clouds provide a set of mandatory and support core systems to enable industrial automation applications. One of these mandatory core systems is an Authentication, Authorisationand Accounting (AAA) system, which is used to authenticate and provide access control to the devices in a local cloud. In an industrial context, with multiple stakeholders, the AAA mustsupport fine-grain access control. For example, in a distributed control loop, a controller should only have read access to its sensor such as a flow meter and write access to its actuator, such as a valve. The controller should not have access to anyother information besides what is needed to implement the desired functionality. In this work, an NGAC-based AAA solution to achieve fine-grain service level access control between IoT devices has been proposed and implemented. The solution is presented using a district heating use case.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Embedded Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Embedded Systems; Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-69313 (URN)0.1109/ICPHYS.2018.8390799 (DOI)2-s2.0-85050142256 (Scopus ID)9781538665312 (ISBN)
Conference
1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University, Saint Petersburg, Russian Federation, 15-18 May 2018
Projects
Productive 4.0OPTi Optimisation of District Heating Cooling systems, OPTi
Funder
EU, Horizon 2020, 649796
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-08-07Bibliographically approved
Strobl, S., Hofbauer, D., Schmittner, C., Maksuti, S., Tauber, M. G. & Delsing, J. (2018). Connected cars: Threats, vulnerabilities and their impact. In: : . Paper presented at 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018 (pp. 375-380). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Connected cars: Threats, vulnerabilities and their impact
Show others...
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The growing demand for interoperability between system components within a connected car has led to new security challenges in automotive development. The existing components, based on established technology, are often being combined to form such a connected car. For such established technologies, individual, often sector specific threat and vulnerability catalogs exist. The aim of this paper is to identify blocks of established technologies in a connected car and to consolidate the corresponding threat and vulnerability catalogs relevant for the individual constituent components. These findings are used to estimate the impact on specific system components and subsystems to identify the most crucial components and threats.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-70251 (URN)10.1109/ICPHYS.2018.8387687 (DOI)2-s2.0-85050105333 (Scopus ID)9781538665312 (ISBN)
Conference
1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2018-08-07Bibliographically approved
Bicaku, A., Maksuti, S., Hegedűs, C., Tauber, M. G., Delsing, J. & Eliasson, J. (2018). Interacting with the arrowhead local cloud: On-boarding procedure. In: : . Paper presented at 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018 (pp. 743-748). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Interacting with the arrowhead local cloud: On-boarding procedure
Show others...
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Industrial automation systems are advancing rapidly and a wide range of standards, communication protocols and platforms supporting the integration of devices are introduced. It is therefore necessary to design and build appropriate tools and frameworks that allow the integration of devices with multiple systems and services. In this work we present the Arrow-head Framework, used to enable collaborative IoT automation and introduce two support core systems, SystemRegistry and DeviceRegistry, which are needed to create a chain of trust from a hardware device to a software system and its associated services. Furthermore, we propose an on-boarding procedure of a new device interacting with the Arrowhead local cloud. This ensures that only valid and authorized devices can host software systems within an Arrowhead local cloud.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-70253 (URN)10.1109/ICPHYS.2018.8390800 (DOI)2-s2.0-85050137809 (Scopus ID)9781538665312 (ISBN)
Conference
1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2018-08-07Bibliographically approved
Häggström, F. & Delsing, J. (2018). IoT Energy Storage: A Forecast. Energy Harvesting and Systems, 5(3/4)
Open this publication in new window or tab >>IoT Energy Storage: A Forecast
2018 (English)In: Energy Harvesting and Systems, ISSN 2329-8766, Vol. 5, no 3/4Article in journal (Refereed) Published
Abstract [en]

Exponential growth in computing, wireless communication, and energy storage efficiency is key to allowing smaller and scalable IoT solutions. These advancements have made it possible to power devices from energy harvesters (EH) and explore other energy storage solutions that can increase the lifetime and robustness of IoT devices. We summarize current trends and limits for the current paradigm as the basis of our forecast. The trend shows that conventional ceramic capacitors are sufficient for energy storage for today’s EH powered wireless IoT devices and that in the future, IoT devices can either perform more advanced tasks with their current volume or be shrunk in size.

Place, publisher, year, edition, pages
De Gruyter Open, 2018
Keywords
energy harvesting; energy storage; IoT; trends; industry; size; wireless transceiver
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-71534 (URN)10.1515/ehs-2018-0010 (DOI)
Available from: 2018-11-10 Created: 2018-11-10 Last updated: 2018-12-05Bibliographically approved
Bicaku, A., Schmittner, C., Tauber, M. G. & Delsing, J. (2018). Monitoring Industry 4.0 applications for security and safety standard compliance. In: : . Paper presented at 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018 (pp. 749-754). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Monitoring Industry 4.0 applications for security and safety standard compliance
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In Industry 4.0 independent entities shall inter-operate to allow flexible and customized production. To assure the parties that individual components are secured to inter-operate, we investigate automated standard compliance. The standard compliance is defined based on given sets of security and safety requirements from which are derived measurable indicator points. Those reflect configurations of systems recommended by security, safety or legally relevant standards and guidelines, which help to demonstrate the state of compliance. We propose in this paper an initial approach to automate such assessment when components are inter-operating with each other by using a monitoring and standard compliance verification framework. This will assure the parties that services or devices within their organizations operate in a secure and standard compliant way, without compromising the underlying infrastructure.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-70247 (URN)10.1109/ICPHYS.2018.8390801 (DOI)2-s2.0-85050145938 (Scopus ID)9781538665312 (ISBN)
Conference
1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2018-08-07Bibliographically approved
Zabasta, A., Kunicina, N., Kondratjevs, K., Patlins, A., Ribickis, L. & Delsing, J. (2018). MQTT Service Broker for Enabling the Interoperability of Smart City Systems. In: : . Paper presented at 2018 Energy and Sustainability for Small Developing Economies (ES2DE), July 9th to 12th, 2018, Funchal, Madeira Island..
Open this publication in new window or tab >>MQTT Service Broker for Enabling the Interoperability of Smart City Systems
Show others...
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Smart city offers a concept of interconnection of modern digital technologies in the context of a city that provides a solution to enhance the quality and performance of urban services. However, interconnection of the Smart city systems still is a challenging process due to incompatibility of systems that apply a plenty of appropriate technical solutions and protocols that cause collaboration between automation devices such as sensors, actuators, controllers. Introduction of Internet-of-Things (IoT) provides promising opportunities to develop new services and integrate different application domains. The Arrowhead Framework aims to apply Service Oriented Architecture to the embedded systems' world. This research is focused on the one of the Arrowhead Framework core systems - Event Handler. This system supports the handling of events, and enriches service-oriented applications with the capabilities of interacting via the publish/subscribe paradigm. We implemented the Event Handler system as a MQTT enabled service broker, and deployed data flow programming tool Node-RED for wiring together divergent hardware devices and nodes, and APIs for online services. A case study of the service broker implemented for control of utilities systems in urban environment is presented and discussed.

Keywords
Automation, Smart cities, Cloud computing, Sensors, Protocols, Electrical engineering, Smart city systems, utilities, automation, SOA, MQTT broker, Arrowhead Framework core systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-71345 (URN)10.1109/ES2DE.2018.8494341 (DOI)
Conference
2018 Energy and Sustainability for Small Developing Economies (ES2DE), July 9th to 12th, 2018, Funchal, Madeira Island.
Available from: 2018-10-26 Created: 2018-10-26 Last updated: 2018-10-30Bibliographically approved
Derhamy, H., Andersson, M., Eliasson, J. & Delsing, J. (2018). Workflow management for edge driven manufacturing systems. In: : . Paper presented at 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018 (pp. 774-779). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Workflow management for edge driven manufacturing systems
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The fourth industrial revolution is one of digitization. As manufacturers build more digital equipment into their process harnessing the potential becomes a challenge. ISA 95 based manufacturers rely on top down decision making, with redundant flow of information in order to organize Workflows on the factory floor. With advances in edge computing and smart objects, more decision are made at lower levels of the infrastructure hierarchy. However, how can the MES tracking and execution functions be decentralized while maintain an organized collaboration of smart objects? This paper proposes a Cyber Physical Service Oriented System of Systems operating on edge computing. There are three systems proposed here; Smart Product, Workflow Manager and Workflow Executor. These systems operate within Arrowhead Local Clouds and create a fully autonomous set of system to complete a production order. Planning, Supply chain and Quality of Service monitoring are out of scope and remain as centralized activities. The Smart Product is the core Cyber Physical System that must be context-aware in order to pass the correct Workflow information to the Workflow System responsible for current activities.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-70248 (URN)10.1109/ICPHYS.2018.8390805 (DOI)2-s2.0-85050081836 (Scopus ID)9781538665312 (ISBN)
Conference
1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, ITMO University Saint Petersburg, Russian Federation, 15-18 May 2018
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2019-01-18Bibliographically approved
Carlsson, O. & Delsing, J. (2017). Engineering of Service-oriented IoT Automation Systems. IEEE Systems Journal
Open this publication in new window or tab >>Engineering of Service-oriented IoT Automation Systems
2017 (English)In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234Article in journal (Refereed) Submitted
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-61285 (URN)
Projects
Arrowhead
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2018-05-22
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4133-3317

Search in DiVA

Show all publications