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MeDI: Measurement-based Device Identification Framework for Internet of Things
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8078-5172
2018 (English)In: 2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), IEEE , 2018, p. 95-100Conference paper, Published paper (Refereed)
Abstract [en]

IoT systems may provide information from different sensors that may reveal potentially confidential data, such as a person's presence or not. The primary question to address is how we can identify the sensors and other devices in a reliable way before receiving data from them and using or sharing it. In other words, we need to verify the identity of sensors and devices. A malicious device could claim that it is the legitimate sensor and trigger security problems. For instance, it might send false data about the environment, harmfully affecting the outputs and behavior of the system. For this purpose, using only primary identity values such as IP address, MAC address, and even the public-key cryptography key pair is not enough since IPs can be dynamic, MACs can be spoofed, and cryptography key pairs can be stolen. Therefore, the server requires supplementary security considerations such as contextual features to verify the device identity. This paper presents a measurement-based method to detect and alert false data reports during the reception process by means of sensor behavior. As a proof of concept, we develop a classification-based methodology for device identification, which can be implemented in a real IoT scenario.

Place, publisher, year, edition, pages
IEEE , 2018. p. 95-100
Series
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
Keywords [en]
Internet of Things, Device identification, Device profiling, Identity theft, Smart campus
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-155046ISI: 000450180200013ISBN: 978-1-5386-4829-2 (print)OAI: oai:DiVA.org:umu-155046DiVA, id: diva2:1276326
Conference
16th IEEE International Conference on Industrial Informatics (INDIN), JUL 18-20, 2018, Univ Porto, Fac Engn, Porto, PORTUGAL
Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-08Bibliographically approved

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Främling, Kary

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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