Attack-aware data timestamping in low-power synchronization-free LoRaWAN

Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang

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

14 Citations (Scopus)

Abstract

Low-power wide-area network technologies such as LoRaWAN are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a critical system function. This paper considers a synchronization-free approach to timestamping LoRaWAN uplink data based on signal arrival time at the gateway, which well matches LoRaWAN’s one-hop star topology and releases bandwidth from transmitting timestamps and synchronizing end devices’ clocks at all times. However, we show that this approach is susceptible to a frame delay attack consisting of malicious frame collision and delayed replay. Real experiments show that the attack can affect the end devices in large areas up to about 50, 000 m2. In a broader sense, the attack threatens any system functions requiring timely deliveries of LoRaWAN frames. To address this threat, we propose a LoRaTS gateway design that integrates a commodity LoRaWAN gateway and a low-power software-defined radio receiver to track the inherent frequency biases of the end devices. Based on an analytic model of LoRa’s chirp spread spectrum modulation, we develop signal processing algorithms to estimate the frequency biases with high accuracy beyond that achieved by LoRa’s default demodulation. The accurate frequency bias tracking capability enables the detection of the attack that introduces additional frequency biases. Extensive experiments show the effectiveness of our approach.
Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS 2020)
PublisherIEEE
Pages100-110
ISBN (Electronic)978-1-7281-7002-2
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes
Event40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020) - Virtual, Singapore
Duration: 29 Nov 20201 Dec 2020
Conference number: 40
https://icdcs2020.sg/

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2020-November

Conference

Conference40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020)
Abbreviated titleICDCS'20
Country/TerritorySingapore
Period29/11/201/12/20
Internet address

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