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Jennehag, Ulf
Publikationer (10 of 49) Visa alla publikationer
Gebremichael, T., Gidlund, M., Hancke, G. P. & Jennehag, U. (2022). Quantum-Safe Group Key Establishment Protocol from Lattice Trapdoors. Sensors, 22(11), Article ID 4148.
Öppna denna publikation i ny flik eller fönster >>Quantum-Safe Group Key Establishment Protocol from Lattice Trapdoors
2022 (Engelska)Ingår i: Sensors, ISSN 1424-8220, Vol. 22, nr 11, artikel-id 4148Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Group communication enables Internet of Things (IoT) devices to communicate in an efficient and fast manner. In most instances, a group message needs to be encrypted using a cryptographic key that only devices in the group know. In this paper, we address the problem of establishing such a key using a lattice-based one-way function, which can easily be inverted using a suitably designed lattice trapdoor. Using the notion of a bad/good basis, we present a new method of coupling multiple private keys into a single public key, which is then used for encrypting a group message. The protocol has the apparent advantage of having a conjectured resistance against potential quantum-computer-based attacks. All functions—key establishment, session key update, node addition, encryption, and decryption—are effected in constant time, using simple linear-algebra operations, making the protocol suitable for resource-constrained IoT networks. We show how a cryptographic session group key can be constructed on the fly by a user with legitimate credentials, making node-capture-type attacks impractical. The protocol also incorporates a mechanism for node addition and session-key generation in a forward- and backward-secrecy-preserving manner.

Ort, förlag, år, upplaga, sidor
MDPI, 2022
Nyckelord
IoT group key, quantum-safe cryptography, lightweight cryptography, lattices, lattice-based crypotgraphy, lattice trapdoors, one-way function, learning with errors, LWE, short basis
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:miun:diva-45077 (URN)10.3390/s22114148 (DOI)000809155400001 ()35684771 (PubMedID)2-s2.0-85131705792 (Scopus ID)
Tillgänglig från: 2022-05-30 Skapad: 2022-05-30 Senast uppdaterad: 2022-11-02Bibliografiskt granskad
Forsström, S., Danielski, I., Zhang, T. & Jennehag, U. (2021). Collecting Indoor Environmental Sensor Values for Machine Learning Based Smart Building Control. In: 2020 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS): . Paper presented at 2020 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2020, 27 January 2021 through 28 January 2021 (pp. 37-43). IEEE
Öppna denna publikation i ny flik eller fönster >>Collecting Indoor Environmental Sensor Values for Machine Learning Based Smart Building Control
2021 (Engelska)Ingår i: 2020 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), IEEE, 2021, s. 37-43Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This research presents a solution for collecting indoor environmental sensor values and how the gathered sensor values then could be used for green building certification and in turn also machine learning based smart building control. We have created and implemented a proof of concept system consisting of a sensor collecting device using off the shelf hardware to complement the existing sensor information from buildings, as well as a cloud system for persistently storing this data for later usage. We have measured and evaluated our implemented system for our envisioned scenarios. In which we could observe that our proof-of-concept could scale to handle almost four sensor value updates per second at maximum stress, as well as having a latency for uploading a sensor value from our sensor of about 130 ms. Finally, we present our future and ongoing work based on these results which outlines our work for smart building control, green building certification, and the energy signature of buildings. 

Ort, förlag, år, upplaga, sidor
IEEE, 2021
Nyckelord
cloud, ecotechnology, energy signatures, green classification, industrial internet of things, Internet of Things, machine learning, sensors, smart buildings
Nationell ämneskategori
Samhällsbyggnadsteknik Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:miun:diva-41668 (URN)10.1109/IoTaIS50849.2021.9359717 (DOI)000670599800007 ()2-s2.0-85102210342 (Scopus ID)9781728194486 (ISBN)
Konferens
2020 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2020, 27 January 2021 through 28 January 2021
Tillgänglig från: 2021-03-16 Skapad: 2021-03-16 Senast uppdaterad: 2021-08-10Bibliografiskt granskad
Forsström, S., Jennehag, U. & Guan, X. (2020). A Plain Low Threshold IoT Platform for Enabling New IoT Products from SMEs. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT: . Paper presented at 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (pp. 390-394). IEEE
Öppna denna publikation i ny flik eller fönster >>A Plain Low Threshold IoT Platform for Enabling New IoT Products from SMEs
2020 (Engelska)Ingår i: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, IEEE, 2020, s. 390-394Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Many small and medium enterprises have existing products that they want to innovate on and move into the new era of Internet of Things. Because of this, we have developed a plain Internet of Things platform aimed towards businesses who wants to try out these new systems but does not have the resources to develop or maintain a full platform from the traditional providers. We have developed an open source solution that can be run on cheap off the shelf hardware and employs today's de facto standards for Internet of Things systems. Our solution also provides adequate functionality for an initial effort and innovation, including taking security and privacy concerns into consideration. We have also evaluated our implementation in terms of scale, which shows that the system scales well in scenarios with up to 50 sensor values per second. Which should be enough for a small business first effort to try out their products as an Internet of Things service. 

Ort, förlag, år, upplaga, sidor
IEEE, 2020
Nyckelord
Internet of Things, IoT, open source, radon, SME, ventilation
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:miun:diva-39608 (URN)10.1109/MetroInd4.0IoT48571.2020.9138303 (DOI)000573618400077 ()2-s2.0-85088866520 (Scopus ID)978-1-7281-4892-2 (ISBN)
Konferens
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
Tillgänglig från: 2020-08-17 Skapad: 2020-08-17 Senast uppdaterad: 2020-10-15Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents
2019 (Engelska)Ingår i: COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems, ACM Digital Library, 2019, Vol. F148162, s. 116-121Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2019
Nyckelord
Blockchain, Smart grid, Microgrids, Internet of Things, Industrial Internet of Things, Open source
Nationell ämneskategori
Datorteknik
Identifikatorer
urn:nbn:se:miun:diva-36032 (URN)10.1145/3312614.3312641 (DOI)000850433900020 ()2-s2.0-85066794658 (Scopus ID)978-1-4503-6640-3 (ISBN)
Konferens
International Conference on Omni-Layer Intelligent Systems
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2019-04-24 Skapad: 2019-04-24 Senast uppdaterad: 2022-12-21Bibliografiskt granskad
Pau, G., Ferrero, R., Jennehag, U. & Zhang, H. (2019). Emerging applications through low-power wireless technologies for Internet of Things. International Journal of Distributed Sensor Networks, 15(3)
Öppna denna publikation i ny flik eller fönster >>Emerging applications through low-power wireless technologies for Internet of Things
2019 (Engelska)Ingår i: International Journal of Distributed Sensor Networks, ISSN 1550-1329, E-ISSN 1550-1477, Vol. 15, nr 3Artikel i tidskrift, Editorial material (Refereegranskat) Published
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-35862 (URN)10.1177/1550147719835692 (DOI)000460633600001 ()2-s2.0-85062602952 (Scopus ID)
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2019-03-25 Skapad: 2019-03-25 Senast uppdaterad: 2020-01-24Bibliografiskt granskad
Gebremichael, T., Jennehag, U. & Gidlund, M. (2019). Lightweight IoT Group Key Establishment Scheme from the One Time Pad. In: 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud): . Paper presented at 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), Newark, CA, USA, 4-9 April 2019. IEEE
Öppna denna publikation i ny flik eller fönster >>Lightweight IoT Group Key Establishment Scheme from the One Time Pad
2019 (Engelska)Ingår i: 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), IEEE, 2019Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Secure group communication in the Internet ofThings (IoT) entails the establishment and management of one or more group keys to provide group security services such as confidentiality of group messages. The main challenges in establishing a group key consist in designing a group key establishment scheme that is feasible for nodes with limited computational capabilities. In this paper, we propose a lightweight group key establishment scheme based on fast symmetric-key encryption. We show a mechanism for designing a lightweight and secure IoT group key establishment and management scheme whose security is underpinned by the perfect secrecy provided by the One-time-pad. We then argue that the scheme is convenient for IoT group applications where nodes are resource-constrained. We prove that our scheme is secure under a threat model where the attacker has sufficiently large computational power. We also prove that the scheme provides desired group security properties such as confidentiality, key secrecy and independent group session keys generation.

Ort, förlag, år, upplaga, sidor
IEEE, 2019
Nyckelord
IoT Group Key, One-time Pad, Lightweight Cryptography, Unconditional Security, IoT Security and Privacy
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:miun:diva-35608 (URN)10.1109/MobileCloud.2019.00021 (DOI)000470058100011 ()2-s2.0-85066481234 (Scopus ID)
Konferens
2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), Newark, CA, USA, 4-9 April 2019
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2019-02-07 Skapad: 2019-02-07 Senast uppdaterad: 2020-02-20Bibliografiskt granskad
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.
Öppna denna publikation i ny flik eller fönster >>Challenges of Securing the Industrial Internet of Things Value Chain
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2018 (Engelska)Ingår i: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, IEEE, 2018, s. 218-223, artikel-id 8428344Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE, 2018
Nyckelord
Security, IoT, IIoT, Industry 4.0, vulnerabilities, trust, metering, metrology, application, end-device
Nationell ämneskategori
Datorteknik
Identifikatorer
urn:nbn:se:miun:diva-33653 (URN)10.1109/METROI4.2018.8428344 (DOI)000494651700040 ()2-s2.0-85052506472 (Scopus ID)978-1-5386-2497-5 (ISBN)978-1-5386-2498-2 (ISBN)
Konferens
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
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2018-05-22 Skapad: 2018-05-22 Senast uppdaterad: 2020-01-15Bibliografiskt granskad
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.
Öppna denna publikation i ny flik eller fönster >>Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT
2018 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 18, nr 5, artikel-id 1532Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
MDPI, 2018
Nyckelord
data mining, fog computing, IoT, online learning, monitoring
Nationell ämneskategori
Kommunikationssystem
Identifikatorer
urn:nbn:se:miun:diva-33609 (URN)10.3390/s18051532 (DOI)000435580300231 ()29757227 (PubMedID)2-s2.0-85047063861 (Scopus ID)
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Forskningsfinansiär
KK-stiftelsen, 20150363, 20140321, and 20140319
Tillgänglig från: 2018-05-14 Skapad: 2018-05-14 Senast uppdaterad: 2022-02-10Bibliografiskt granskad
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, Bamberg, Germany, 26-29 March, 2018 (pp. 17-22). IEEE
Öppna denna publikation i ny flik eller fönster >>Elastic Provisioning of Internet of Things Services using Fog Computing: an Experience Report
2018 (Engelska)Ingår i: 2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), IEEE, 2018, s. 17-22Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE, 2018
Nyckelord
Arduino, containerization, Elasticity, Experience Report, fog computing, Internet of things, orchestration, RaspberriPi
Nationell ämneskategori
Datorteknik
Identifikatorer
urn:nbn:se:miun:diva-33655 (URN)10.1109/MobileCloud.2018.00011 (DOI)000494645200003 ()2-s2.0-85049605491 (Scopus ID)978-1-5386-4879-7 (ISBN)978-1-5386-4880-3 (ISBN)
Konferens
6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, Bamberg, Germany, 26-29 March, 2018
Tillgänglig från: 2018-05-22 Skapad: 2018-05-22 Senast uppdaterad: 2020-01-15Bibliografiskt granskad
Gidlund, M., Han, S., Sisinni, E., Saifullah, A. & Jennehag, U. (2018). Guest Editorial From Industrial Wireless Sensor Networks to Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 4(5), 2194-2198
Öppna denna publikation i ny flik eller fönster >>Guest Editorial From Industrial Wireless Sensor Networks to Industrial Internet of Things
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2018 (Engelska)Ingår i: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 4, nr 5, s. 2194-2198Artikel i tidskrift, Editorial material (Refereegranskat) Published
Nyckelord
Special issues and sections, Production facilities, Manufacturing automation, Informatics, Wireless sensor networks, Actuators, Internet of Things, Industrial engineering, Industrial communication
Nationell ämneskategori
Kommunikationssystem Datorteknik
Identifikatorer
urn:nbn:se:miun:diva-33893 (URN)10.1109/TII.2018.2815957 (DOI)000431531400037 ()2-s2.0-85046798123 (Scopus ID)
Projekt
TIMELINESS
Forskningsfinansiär
KK-stiftelsen
Tillgänglig från: 2018-06-25 Skapad: 2018-06-25 Senast uppdaterad: 2021-04-28Bibliografiskt granskad
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