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Cited 12 time in webofscience Cited 19 time in scopus
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AEchain: A lightweight blockchain for IoT applications

Authors
Khan, SafiullahLee, Wai-KongHwang, Seong Oun
Issue Date
1-Mar-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Authentication; Blockchain; Consensus algorithm; Hardware; Internet of Things; Physical unclonable function; Sensors
Citation
IEEE Consumer Electronics Magazine, v.11, no.2, pp.64 - 76
Journal Title
IEEE Consumer Electronics Magazine
Volume
11
Number
2
Start Page
64
End Page
76
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/83910
DOI
10.1109/MCE.2021.3060373
ISSN
2162-2248
Abstract
IoT nodes comprise of sensors and resource-constrained embedded systems. On the other hand, blockchain is regarded as computationally expensive due to the consensus algorithm (e.g. Proof of Work) and hash computation (i.e. Merkle tree). Therefore, it is challenging to apply blockchain to an IoT system. This work presents a unique concept that integrates blockchain with lightweight cryptographic solutions targeting resource-constrained IoT sensor nodes. In particular, proof of authentication utilizing a lightweight authenticated encryption (AE) scheme to achieve consensus is proposed. Each IoT sensor node generates its own distinctive tag based on the input sensor data, and broadcasts it to the blockchain network. The trusted nodes (e.g. a gateway) in the network authenticate sensor nodes using the lightweight AE scheme. The authenticated block is then hashed by a lightweight hash function and added to the blockchain. The proposed proof of authentication scheme can be implemented in software (e.g. microcontroller) or hardware platform (e.g. FPGA, ASIC). Experimental results show that lightweight authentication can perform 1.34M authentications-per-second with only 6.55k look-up tables (LUTs) on the Spartan- 6 FPGA platform. This high-throughput authentication can speed up the consensus in blockchain, utilizing few resources and making it very suitable for applications in IoT sensor nodes IEEE
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Hwang, Seong Oun
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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