An Improved Secure Key Management Scheme for LoRa System

Xing, Jinyu; Hou, Lu; Zheng, Kan

doi:10.1109/icct46805.2019.8947215

Cited by 11 publications

(14 citation statements)

References 13 publications

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“…A lightweight key exchange protocol based on Ephemeral Diffie-Hellman Over COSE (EDHOC), where COSE stands for Concise binary object representation Object Signing and Encryption. Xing et al [10] Lack of root key update.…”

Section: Yearmentioning

confidence: 99%

“…So, the need for updating the static root keys are reduced. Also, unlike [7,9,10], they used Public Key Cryptography (PKC) for the key exchanges, according to [41,42] the PKC requires more computation resources than symmetrical cryptography, and our session key generation uses the symmetrical method that can be done on both sides independently. Hence, we have less computational requirement compared to the PKC method, which is a highly important factor for the LoRaWAN constrained end devices because most end devices are battery powered.…”

Section: Analysis Of Solutionsmentioning

confidence: 99%

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A Complete Key Management Scheme for LoRaWAN v1.1

Chen

Lech

Wang

2021

Sensors

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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.

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Section: Yearmentioning

confidence: 99%

Section: Analysis Of Solutionsmentioning

confidence: 99%

A Complete Key Management Scheme for LoRaWAN v1.1

Chen

Lech

Wang

2021

Sensors

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“…A key management and update mechanism is proposed in [65] for LoRa devices. Elliptic-curve Deffie-Helman (ECC-DH) is used for key agreements, and a hierarchical deterministic (HD) wallet is used for key management in the system.…”

Section: Security Vulnerabilities In Lpwanmentioning

confidence: 99%

“…The process requires end nodes to perform several calculations, it most probably will have an adverse effect on the node lifetime An Improved Secure Key Management Scheme for LoRa System [65] A key management and update mechanism based on ECC for LoRa devices.…”

Section: Experimental Investigation On Wireless Key Generation For Low-power Wide-area Network [63]mentioning

confidence: 99%

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

2020

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The Internet of things (IoT) has revolutionized the use of connectivity and has given birth to new transmission technologies to satisfy the requirements of diverse IoT applications. Low powered wide area networks (LPWAN) is one of those transmission technologies, and is becoming exceptionally useful for IoT applications. The nodes use energy-efficient mechanisms for long-range data transmission (10–20 km), lasting in hostile environments for years and making them suitable for IoT applications such as environmental monitoring, automated billing systems, smart homes, smart offices, and patient monitoring. However, LPWAN devices have minimal resources, which makes it challenging to provide promising security to devices and data in the network. In this paper, we discuss the security mechanisms used in current LPWAN technologies along with their vulnerabilities and possible attacks on them. A detailed literature review is conducted on existing solutions on the security of constrained IoT networks similar to LPWAN using different networking frameworks. The reviewed literature is then compared based on various network security measures addressed by them. In addition, the emergence of software defined network (SDN) architecture for security in IoT is explained based on literature. Finally, the applicability of SDN in LPWAN security, its opportunities, and challenges in implementation are discussed.

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“…Therefore, poor implementation also may put end-devices and gateways in danger. A series of articles on key management for LoRa based networks 5,6 was published later advocating for key-management solutions. There was also proposed a way to secure communication for healthcare monitoring system.…”

Section: Introductionmentioning

confidence: 99%

Adopting Machine Learning for Images Transferred with LoRaWAN

Brazhenenko¹,

Shevchenko²,

Bychkov³

et al. 2020

ISIJ

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LPWAN (Low-power Wide-area network) networks are well-known since the 1980s, but due to low efficiency were not in active use for a long time. Modern LPWAN is a game-changing technology with true power in network coverage, cost efficiency, and low operational expenses. LPWAN services' most frequent market is in smart cities, agriculture, healthcare, and civil defence systems. LoRa is considered one of the market leaders in LPWAN; however, the low bandwidth of its physical layer makes it unsuitable for high-speed transmission. The provision of integrity, availability, and confidentiality in IoT networks is still of major concern. Data accuracy and lack of control over the transmission of personal information prevents the active use of the technology in regulated industries, such as healthcare and civil defence. In this article, we adopt LoRa for the transmission of media content, with an ability to regulate the quality of data and achieve desired level of integrity and availability. This allows the system to self-configure (train) via more reliable machine learning techniques.

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An Improved Secure Key Management Scheme for LoRa System

Cited by 11 publications

References 13 publications

A Complete Key Management Scheme for LoRaWAN v1.1

A Complete Key Management Scheme for LoRaWAN v1.1

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

Adopting Machine Learning for Images Transferred with LoRaWAN

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