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Intrusion Detection in the RPL-connected 6LoWPAN Networks
SICS.
SICS.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (UNO)ORCID iD: 0000-0002-2586-8573
2017 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-333813OAI: oai:DiVA.org:uu-333813DiVA: diva2:1158024
Conference
ACM 3rd International Workshop on IoT Privacy, Trust, and Security (IoTPTS 2017)
Available from: 2017-11-17 Created: 2017-11-17 Last updated: 2017-11-17

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