Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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
JamSense: Interference and Jamming Classification for Low-power Wireless Networks
RISE Research Institutes of Sweden, Digital Systems, Data Science.
RISE Research Institutes of Sweden, Digital Systems, Data Science.
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0003-3139-2564
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-7257-4386
Show others and affiliations
2021 (English)In: 2021 13th IFIP Wireless and Mobile Networking Conference (WMNC), 2021, p. 9-16Conference paper, Published paper (Refereed)
Abstract [en]

Low-power wireless networks transmit at low output power and are hence susceptible to cross-technology interference. The latter may cause packet loss which may waste scarce energy resources by requiring the retransmission of packets. Jamming attacks are even more harmful than cross-technology interference in that they may totally prevent packet reception and hence disturb or even disrupt applications. Therefore, it is important to recognize such jamming attacks. In this paper, we present JamSense. JamSense extends SpeckSense, a system that is able to detect multiple sources of interference, with the ability to classify jamming attacks. As SpeckSense, JamSense runs on resource-constrained nodes. Our experimental evaluation on real hardware shows that JamSense is able to identify jamming attacks with high accuracy while not classifying Bluetooth or WiFi interference as jamming attacks.

Place, publisher, year, edition, pages
2021. p. 9-16
Keywords [en]
Bluetooth, Energy resources, Wireless networks, Packet loss, Interference, Tools, Hardware
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-57434DOI: 10.23919/WMNC53478.2021.9619007OAI: oai:DiVA.org:ri-57434DiVA, id: diva2:1623487
Conference
2021 13th IFIP Wireless and Mobile Networking Conference (WMNC)
Available from: 2021-12-29 Created: 2021-12-29 Last updated: 2023-06-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Tsiftes, NicolasEriksson, JoakimVoigt, Thiemo

Search in DiVA

By author/editor
Tsiftes, NicolasEriksson, JoakimVoigt, Thiemo
By organisation
Data Science
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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