A simple and efficient replay attack prevention scheme for LoRaWAN

Jaehyu Kim, Joo Seok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In recent years, LPWAN technology, designed to realize lowpower and long distance communication, has attracted much attention. Among several LPWAN technologies, Long Range (LoRa) is one of the most competitive physical layer protocol. Long Range Wide Area Network (LoRaWAN) is an upper layer protocol used with LoRa, and it provides several security functions including random number-based replay attack prevention system. According to recent studies, current replay attack prevention of LoRaWAN can mislead benign messages into replay attacks. To resolve this problem, several new replay attack prevention schemes have been proposed. However, existing schemes have limitations such as not being compatible with the existing packet structure or not considering an exceptional situation such as device reset. Therefore, in this paper, we propose a new LoRaWAN replay attack prevention scheme that resolves these problems. Our scheme follows the existing packet structure and is designed to cope with exceptional situations such as device reset. As a result of calculations, in our scheme, the probability that a normal message is mistaken for a replay attack is 60-89% lower than the current LoRaWAN. Real-world experiments also support these results.

Original languageEnglish
Title of host publication2017 the 7th International Conference on Communication and Network Security, ICCNS 2017
PublisherAssociation for Computing Machinery
Pages32-36
Number of pages5
ISBN (Electronic)9781450353496
DOIs
Publication statusPublished - 2017 Nov 24
Event7th International Conference on Communication and Network Security, ICCNS 2017 - Tokyo, Japan
Duration: 2017 Nov 242017 Nov 26

Publication series

NameACM International Conference Proceeding Series

Other

Other7th International Conference on Communication and Network Security, ICCNS 2017
CountryJapan
CityTokyo
Period17/11/2417/11/26

Fingerprint

Wide area networks
Network protocols
Communication
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Kim, J., & Song, J. S. (2017). A simple and efficient replay attack prevention scheme for LoRaWAN. In 2017 the 7th International Conference on Communication and Network Security, ICCNS 2017 (pp. 32-36). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3163058.3163064
Kim, Jaehyu ; Song, Joo Seok. / A simple and efficient replay attack prevention scheme for LoRaWAN. 2017 the 7th International Conference on Communication and Network Security, ICCNS 2017. Association for Computing Machinery, 2017. pp. 32-36 (ACM International Conference Proceeding Series).
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Kim, J & Song, JS 2017, A simple and efficient replay attack prevention scheme for LoRaWAN. in 2017 the 7th International Conference on Communication and Network Security, ICCNS 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 32-36, 7th International Conference on Communication and Network Security, ICCNS 2017, Tokyo, Japan, 17/11/24. https://doi.org/10.1145/3163058.3163064

A simple and efficient replay attack prevention scheme for LoRaWAN. / Kim, Jaehyu; Song, Joo Seok.

2017 the 7th International Conference on Communication and Network Security, ICCNS 2017. Association for Computing Machinery, 2017. p. 32-36 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim J, Song JS. A simple and efficient replay attack prevention scheme for LoRaWAN. In 2017 the 7th International Conference on Communication and Network Security, ICCNS 2017. Association for Computing Machinery. 2017. p. 32-36. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3163058.3163064