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Aydogan, E., Yilmaz, S., Sen, S., Butun, I., Forsström, S. & Gidlund, M. (2019). A Central Intrusion Detection System for RPL-Based Industrial Internet of Things. In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS): . Paper presented at 15th IEEE International Workshop on Factory Communication Systems (WFCS'19), Sundsvall, Sweden, May 27-29, 2019.. IEEE, Article ID 8758024.
Open this publication in new window or tab >>A Central Intrusion Detection System for RPL-Based Industrial Internet of Things
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2019 (English)In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, 2019, article id 8758024Conference paper, Published paper (Refereed)
Abstract [en]

Although Internet-of-Things (IoT) is revolutionizing the IT sector, it is not mature yet as several technologies are  still being offered to be candidates for supporting the backbone of this system. IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is one of those promising candidate technologies to be adopted by IoT and Industrial IoT (IIoT). Attacks against RPL have shown to be possible, as the attackers utilize the unauthorized parent selection system of the RLP protocol. In this work, we are proposing a methodology and architecture to detect intrusions against IIoT. Especially, we are targeting to detect attacks against RPL by using genetic programming. Our results indicate that the developed framework can successfully (with high accuracy, along with high true positive and low false positive rates) detect routing attacks in RPL-based Industrial IoT networks.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Industrial IoT (IIoT), Security, Intusion Detection, RPL Networks
National Category
Communication Systems Computer Engineering
Identifiers
urn:nbn:se:miun:diva-36736 (URN)10.1109/WFCS.2019.8758024 (DOI)000490866300023 ()2-s2.0-85070092698 (Scopus ID)978-1-7281-1268-8 (ISBN)
Conference
15th IEEE International Workshop on Factory Communication Systems (WFCS'19), Sundsvall, Sweden, May 27-29, 2019.
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)TIMELINESS
Funder
European Regional Development Fund (ERDF)Knowledge Foundation
Available from: 2019-07-15 Created: 2019-07-15 Last updated: 2019-11-13Bibliographically approved
Forsström, S. & Jennehag, U. (2019). An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents. In: COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems: . Paper presented at International Conference on Omni-Layer Intelligent Systems (pp. 116-121). ACM Digital Library, F148162
Open this publication in new window or tab >>An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents
2019 (English)In: COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems, ACM Digital Library, 2019, Vol. F148162, p. 116-121Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a system for creating an implemented open energy market for future smart grid systems, microgrids, the Internet of Things, and the Industrial Internet of Things. We also investigate and analyze different aspects of blockchain technologies for this purpose in order to choose the appropriate methods, technologies, and approaches for realizing and implementing the system as an open source project. Based on this analysis, we present our resulting functional implementation of this energy market. Including measurements and a quantitative evaluation of the implementation itself. Showing the potential of the approach, where this implantation can be applied, showing its drawbacks, and finally our planned future work.

Place, publisher, year, edition, pages
ACM Digital Library, 2019
Keywords
Blockchain, Smart grid, Microgrids, Internet of Things, Industrial Internet of Things, Open source
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-36032 (URN)10.1145/3312614.3312641 (DOI)2-s2.0-85066794658 (Scopus ID)978-1-4503-6640-3 (ISBN)
Conference
International Conference on Omni-Layer Intelligent Systems
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-04-24 Created: 2019-04-24 Last updated: 2019-09-09Bibliographically approved
Lindén, J., Wang, X., Forsström, S. & Zhang, T. (2019). Bilingual Auto-Categorization Comparison of two LSTM Text Classifiers. In: : . Paper presented at 8th International Congress on Advanced Applied Informatics, Toyama, Japan, July 7-11 (Main Event) & 12 (Forum), 2019.
Open this publication in new window or tab >>Bilingual Auto-Categorization Comparison of two LSTM Text Classifiers
2019 (English)Conference paper (Other academic)
Identifiers
urn:nbn:se:miun:diva-37261 (URN)
Conference
8th International Congress on Advanced Applied Informatics, Toyama, Japan, July 7-11 (Main Event) & 12 (Forum), 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-09-19Bibliographically approved
Forsström, S. (2019). Blockchain Research Report.
Open this publication in new window or tab >>Blockchain Research Report
2019 (English)Report (Other academic)
Abstract [en]

This research report outlines the current research into blockchain technologies as of December 2018. Starting with an overview of the blockchain technology to introduce the theory. To then follow with deep looks into the different aspects of blockchain technologies, investigating the research articles and current state of work in these area, including the forefront of the research frontier. As well as existing blockchain products, an outlook on the future, conclusions that can be drawn from this study. With the intent to both create understand of the technologies, as well as inspire further research work and identifying potential knowledge gaps.

Publisher
p. 12
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-37571 (URN)
Funder
ÅForsk (Ångpanneföreningen's Foundation for Research and Development), 17-336Swedish Social Insurance Agency, MIUN-2018/1011
Available from: 2019-10-24 Created: 2019-10-24 Last updated: 2019-10-30Bibliographically approved
Klareld, A.-S., Forsström, S. & Engvall, T. (2019). Blockchainteknologi och arkiv. Nordisk Arkivnyt (1), 46-47
Open this publication in new window or tab >>Blockchainteknologi och arkiv
2019 (Swedish)In: Nordisk Arkivnyt, ISSN 0546-2851, no 1, p. 46-47Article in journal (Other (popular science, discussion, etc.)) Published
Abstract [sv]

Blockchain, främst känd som teknologin bakom Bitcoin, kan användas till mycket mer än kryptovalutor. World Economic Forum har nyligen listat 65 exempel på hur tekniken kan bidra till att lösa olika miljöutmaningar och MIT:s tidskrift Technology Review har beskrivit hur blockchain används i ett flyktingläger för att människor ska kunna köpa förnödenheter utan att behöva vare sig identitetshandlingar eller kontanter. Med nya tekniker för att hantera mänskliga aktiviteter följer också nya former för dokumentation av dessa. I denna artikel kommer vi därför ge en översiktlig bild av hur blockchain kan användas inom arkivsektorn.

Keywords
arkiv blockchain
National Category
Engineering and Technology Computer Engineering
Identifiers
urn:nbn:se:miun:diva-36001 (URN)
Available from: 2019-04-11 Created: 2019-04-11 Last updated: 2019-04-26Bibliographically approved
Forsström, S., Butun, I., Eldefrawy, M., Jennehag, U. & Gidlund, M. (2018). Challenges of Securing the Industrial Internet of Things Value Chain. In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings: . Paper presented at 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018 (pp. 218-223). IEEE, Article ID 8428344.
Open this publication in new window or tab >>Challenges of Securing the Industrial Internet of Things Value Chain
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2018 (English)In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, IEEE, 2018, p. 218-223, article id 8428344Conference paper, Published paper (Refereed)
Abstract [en]

We see a shift from todays Internet-of-Things (IoT)to include more industrial equipment and metrology systems,forming the Industrial Internet of Things (IIoT). However, thisleads to many concerns related to confidentiality, integrity,availability, privacy and non-repudiation. Hence, there is a needto secure the IIoT in order to cater for a future with smart grids,smart metering, smart factories, smart cities, and smart manufacturing.It is therefore important to research IIoT technologiesand to create order in this chaos, especially when it comes tosecuring communication, resilient wireless networks, protectingindustrial data, and safely storing industrial intellectual propertyin cloud systems. This research therefore presents the challenges,needs, and requirements of industrial applications when it comesto securing IIoT systems.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Security, IoT, IIoT, Industry 4.0, vulnerabilities, trust, metering, metrology, application, end-device
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33653 (URN)10.1109/METROI4.2018.8428344 (DOI)2-s2.0-85052506472 (Scopus ID)978-1-5386-2497-5 (ISBN)978-1-5386-2498-2 (ISBN)
Conference
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2019-09-09Bibliographically approved
Lavassani, M., Forsström, S., Jennehag, U. & Zhang, T. (2018). Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT. Sensors, 18(5), Article ID 1532.
Open this publication in new window or tab >>Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT
2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 5, article id 1532Article in journal (Refereed) Published
Abstract [en]

Digitalization is a global trend becoming ever more important to our connected and sustainable society. This trend also affects industry where the Industrial Internet of Things is an important part, and there is a need to conserve spectrum as well as energy when communicating data to a fog or cloud back-end system. In this paper we investigate the benefits of fog computing by proposing a novel distributed learning model on the sensor device and simulating the data stream in the fog, instead of transmitting all raw sensor values to the cloud back-end. To save energy and to communicate as few packets as possible, the updated parameters of the learned model at the sensor device are communicated in longer time intervals to a fog computing system. The proposed framework is implemented and tested in a real world testbed in order to make quantitative measurements and evaluate the system. Our results show that the proposed model can achieve a 98% decrease in the number of packets sent over the wireless link, and the fog node can still simulate the data stream with an acceptable accuracy of 97%. We also observe an end-to-end delay of 180 ms in our proposed three-layer framework. Hence, the framework shows that a combination of fog and cloud computing with a distributed data modeling at the sensor device for wireless sensor networks can be beneficial for Industrial Internet of Things applications.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
data mining, fog computing, IoT, online learning, monitoring
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-33609 (URN)10.3390/s18051532 (DOI)000435580300231 ()29757227 (PubMedID)2-s2.0-85047063861 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
Knowledge Foundation, 20150363, 20140321, and 20140319
Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2019-09-09Bibliographically approved
Zanni, A., Forsström, S., Jennehag, U. & Bellavista, P. (2018). Elastic Provisioning of Internet of Things Services using Fog Computing: an Experience Report. In: 2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud): . Paper presented at 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (pp. 17-22). IEEE
Open this publication in new window or tab >>Elastic Provisioning of Internet of Things Services using Fog Computing: an Experience Report
2018 (English)In: 2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), IEEE, 2018, p. 17-22Conference paper, Published paper (Refereed)
Abstract [en]

The adoption of cloud and fog computing techniquesfor elastic provisioning of quality-constrained industrial Internet of Things (IoT) services is largely envisioned as very promising, but experience reports and lessons learned from real deployment still lack. To fill this gap, this paper presents andreports the evaluation of a system consisting of virtual services in a combined fog, cloud, and IoT setting, made up of multiple devices with varying computation capabilities. In particular,we have utilized and integrated off-the-shelf solutions into our architecture and have experimentally investigated the benefits of virtualization to move and redeploy mobile components to the fog nodes closest to the targeted end devices. In addition, the paper proposes an original solution to dynamically scale and provision the resources for the fog computing layer by using geometric monitoring. The reported results show the feasibility and efficiency of the proposed exploitation of both fog and cloud virtualized resources to enable scalability in the domain of IoT-assisted mobile presence services.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Arduino, containerization, Elasticity, Experience Report, fog computing, Internet of things, orchestration, RaspberriPi
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33655 (URN)10.1109/MobileCloud.2018.00011 (DOI)2-s2.0-85049605491 (Scopus ID)978-1-5386-4879-7 (ISBN)978-1-5386-4880-3 (ISBN)
Conference
6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2018-09-28Bibliographically approved
Lindén, J., Forsström, S. & Zhang, T. (2018). Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification. In: Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki (Ed.), Proceedings of the 2018 Federated Conference on Computer Science and Information Systems: . Paper presented at 3rd International Workshop on Language Technologies and Applications (LTA'18) at 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018; Poznan; Poland; 9 September 2018 through 12 September 2018 (pp. 489-495). Warzaw: Polskie Towarzystwo Informatyczne, Article ID 8511213.
Open this publication in new window or tab >>Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification
2018 (English)In: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems / [ed] Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Warzaw: Polskie Towarzystwo Informatyczne , 2018, p. 489-495, article id 8511213Conference paper, Published paper (Refereed)
Abstract [en]

News companies have a need to automate and make the process of writing about popular and new events more effective. Current technologies involve robotic programs that fill in values in templates and website listeners that notify editors when changes are made so that the editor can read up on the source change on the actual website. Editors can provide news faster and better if directly provided with abstracts of the external sources and categorical meta-data that supports what the text is about. In this article, the focus is on the importance of evaluating critical parameter modifications of the four classification algorithms Decisiontree, Randomforest, Multi Layer perceptron and Long-Short-Term-Memory in a combination with the paragraph vector algorithms Distributed Memory and Distributed Bag of Words, with an aim to categorise news articles. The result shows that Decisiontree and Multi Layer perceptron are stable within a short interval, while Randomforest is more dependent on the parameters best split and number of trees. The most accurate model is Long-Short-Term-Memory model that achieves an accuracy of 71%.

Place, publisher, year, edition, pages
Warzaw: Polskie Towarzystwo Informatyczne, 2018
Series
Annals of Computer Science and Information Systems, ISSN 2300-5963
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-34767 (URN)10.15439/2018F110 (DOI)000454652300071 ()2-s2.0-85057226648 (Scopus ID)978-83-949419-7-0 (ISBN)
Conference
3rd International Workshop on Language Technologies and Applications (LTA'18) at 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018; Poznan; Poland; 9 September 2018 through 12 September 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-09-09Bibliographically approved
Cai, Z., Chang, R. N., Forsström, S., Kos, A. & Wang, C. (2018). Privacy in the Internet of Things. Wireless Communications & Mobile Computing, 2018, Article ID 8281379.
Open this publication in new window or tab >>Privacy in the Internet of Things
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2018 (English)In: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2018, article id 8281379Article in journal, Editorial material (Other academic) Published
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-33624 (URN)10.1155/2018/8281379 (DOI)000430699200001 ()2-s2.0-85046040304 (Scopus ID)
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2019-08-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1797-1095

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