Literature DB >> 33922603

A Complete Key Management Scheme for LoRaWAN v1.1.

Xingda Chen1, Margaret Lech1, Liuping Wang1.   

Abstract

Security is one of the major concerns of the Internet of Things (IoT) wireless technologies. LoRaWAN is one of the emerging Low Power Wide Area Networks being developed for IoT applications. The latest LoRaWAN release v.1.1 has provided a security framework that includes data confidentiality protection, data integrity check, device authentication and key management. However, its key management part is only ambiguously defined. In this paper, a complete key management scheme is proposed for LoRaWAN. The scheme addresses key updating, key generation, key backup, and key backward compatibility. The proposed scheme was shown not only to enhance the current LoRaWAN standard, but also to meet the primary design consideration of LoRaWAN, i.e., low power consumption.

Entities:  

Keywords:  IoT; LPWAN; LoRaWAN; key generation; key management; security

Year:  2021        PMID: 33922603     DOI: 10.3390/s21092962

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Enhancing LoRaWAN Security through a Lightweight and Authenticated Key Management Approach.

Authors:  Ramon Sanchez-Iborra; Jesús Sánchez-Gómez; Salvador Pérez; Pedro J Fernández; José Santa; José L Hernández-Ramos; Antonio F Skarmeta
Journal:  Sensors (Basel)       Date:  2018-06-05       Impact factor: 3.576

2.  Enhancing Key Management in LoRaWAN with Permissioned Blockchain.

Authors:  Victor Ribeiro; Raimir Holanda; Alex Ramos; Joel J P C Rodrigues
Journal:  Sensors (Basel)       Date:  2020-05-29       Impact factor: 3.576

3.  An Enhanced LoRaWAN Security Protocol for Privacy Preservation in IoT with a Case Study on a Smart Factory-Enabled Parking System.

Authors:  Ilsun You; Soonhyun Kwon; Gaurav Choudhary; Vishal Sharma; Jung Taek Seo
Journal:  Sensors (Basel)       Date:  2018-06-08       Impact factor: 3.576

  3 in total
  1 in total

1.  Re-Learning EXP3 Multi-Armed Bandit Algorithm for Enhancing the Massive IoT-LoRaWAN Network Performance.

Authors:  Samar Adel Almarzoqi; Ahmed Yahya; Zaki Matar; Ibrahim Gomaa
Journal:  Sensors (Basel)       Date:  2022-02-18       Impact factor: 3.576

  1 in total

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