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

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

11 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS 2020)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages100-110
ISBN (electronic)978-1-7281-7002-2
Publication statusPublished - Nov 2020
Externally publishedYes

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2020-November

Conference

Title40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020)
LocationVirtual
PlaceSingapore
Period29 November - 1 December 2020

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.

Citation Format(s)

Attack-aware data timestamping in low-power synchronization-free LoRaWAN. / Gu, Chaojie; Jiang, Linshan; Tan, Rui et al.
Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS 2020). Institute of Electrical and Electronics Engineers, Inc., 2020. p. 100-110 9355597 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November).

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