Softlora – A LorA-based platform for accurate and secure timing

Chaojie Gu, Rui Tan, Jun Huang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

LoRa is an emerging low-power wide-area network technology. Existing studies have focused on LoRa’s communication performance. Differently, we study two physical properties of LoRa, i.e., its performance in timing the signal propagation and the transmitters’ frequency traits. Signal timing is a basis for implementing clock synchronization, ranging, and advanced physical (PHY) layer techniques such as concurrent decoding. However, LoRa end devices do not provide PHY-layer timestamping that is needed for accurate timing. We propose a SoftLoRa design that integrates a low-power software-defined radio receiver with a LoRa transceiver to provide PHY-layer access. Experiments show that SoftLoRa achieves microseconds timing accuracy over one kilometer and in a multistory building with strong signal attenuation. Signal propagation timing is in general susceptible to a frame delay attack. We implement this attack against LoRa by a combination of stealthy jamming and delayed replay. To address the attack, we investigate the inherent frequency biases of LoRa transmitters. With an efficient signal processing algorithm, our frequency bias estimation achieves a resolution of 0.14 parts-per-million (ppm) of the channel’s central frequency. This resolution is sufficient to detect the attack that introduces an additional frequency bias of one or more ppm. In summary, this work provides an accurate and secure LoRa-based timing approach based on the SoftLoRa design.
Original languageEnglish
Title of host publicationIPSN 2019 - Proceedings of the 2019 Information Processing in Sensor Networks
PublisherAssociation for Computing Machinery
Pages309-310
ISBN (Print)9781450362849
DOIs
Publication statusPublished - 16 Apr 2019
Externally publishedYes
Event18th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2019 - Montreal, Canada
Duration: 16 Apr 201918 Apr 2019

Publication series

NameIPSN 2019 - Proceedings of the 2019 Information Processing in Sensor Networks

Conference

Conference18th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2019
Country/TerritoryCanada
CityMontreal
Period16/04/1918/04/19

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Clock synchronization
  • Jamming
  • LoRa
  • LoRaWAN
  • Replay
  • Timing

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