Reduced-order model based temperature control of induction brazing process

dc.contributor.authorPánek, David
dc.contributor.authorOrosz, Tamás
dc.contributor.authorKropík, Petr
dc.contributor.authorKarban, Pavel
dc.contributor.authorDoležel, Ivo
dc.date.accessioned2019-11-11T11:00:21Z
dc.date.available2019-11-11T11:00:21Z
dc.date.issued2019
dc.description.abstract-translatedThe ubiquitous internetworking of devices in all areas of life is boosted by various trends for instance the Internet of Things. Promising technologies that can be used for such future environments come from Wireless Sensor Networks. It ensures connectivity between distributed, tiny and simple sensor nodes as well as sensor nodes and base stations in order to monitor physical or environmental conditions such as vibrations, temperature or motion. Security plays an increasingly important role in the coming decades in which attacking strategies are becoming more and more sophisticated. Contemporary cryptographic mechanisms face a great threat from quantum computers in the near future and together with Intrusion Detection Systems are hardly applicable on sensors due to strict resource constraints. Thus, in this work a future-proof lightweight and resource-aware security concept for sensor networks with a processing stage permeated filtering mechanism is proposed. A special focus in the concepts evaluation lies on the novel Magic Number filter to mitigate a special kind of Denial-of-Service attack performed on CC1350 LaunchPad ARM Cortex-M3 microcontroller boardsen
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationHEIGL, M., SCHRAMM, M., FIALA, D. A Lightweight Quantum-Safe Security Concept for Wireless Sensor Network Communication. In: Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2019. s. 906-911. ISBN 978-1-5386-9151-9 , ISSN 2474-2503.en
dc.identifier.doi10.1109/PQ.2019.8818256
dc.identifier.isbn978-1-5386-9151-9
dc.identifier.obd43926662
dc.identifier.uri2-s2.0-85066256299
dc.identifier.urihttp://hdl.handle.net/11025/35850
dc.language.isoenen
dc.project.IDLO1506/PUNTIS - Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnostcs
dc.publisherIEEEen
dc.relation.ispartofseriesProceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshopsen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© IEEEen
dc.rights.accessrestrictedAccessen
dc.subject.translatedinduction brazingen
dc.subject.translatedmodelingen
dc.subject.translatedmodel order reductionen
dc.subject.translatedorthogonal decompositionen
dc.subject.translatedcontrolen
dc.titleReduced-order model based temperature control of induction brazing processen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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