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Hyperledger Fabric-Based Lightweight Group Management (H-LGM) for IoT Devicesopen access

Authors
Maeng, JuhyunHeo, YoonnyoungJoe, Inwhee
Issue Date
May-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Internet of Things; Servers; Distributed ledger; Fabrics; Delays; Costs; Reliability; Group management; group key; rekeying; agent; hyperledger fabric; IoT device
Citation
IEEE ACCESS, v.10, pp.56401 - 56409
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
10
Start Page
56401
End Page
56409
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/170217
DOI
10.1109/ACCESS.2022.3177270
ISSN
2169-3536
Abstract
Internet of Things (IoT) is a network that can communicate between devices without human intervention. In this network, IoT devices collect sensor data and provide them for various applications. However, data collected from the device may include sensitive information. If this information is leaked, several serious problems will occur. Therefore, access control is presented to allow only authorized users to access important data. This paper proposes a model for organizing and managing groups with the group key (GK) so that only the authorized users can share data for access control. In particular, rekeying overhead is reduced. Because the IoT devices are resource-constrained, the network lifetime may be reduced as the rekeying overhead increases. There is a problem when group communication between multiple users is not used. If multiple users can easily access all data, the leakage of sensitive information will increase. To solve this problem, only users who need to share data join in a group based on the hyperledger fabric. Our approach groups users with the same GK and protects sensitive data by using secure communication links within the group. In addition, a trusted agent for rekeying sends a new GK to users in the group. Therefore, the security of data is guaranteed, and the network lifetime is extended. We analyze the storage cost, delay, and processing time for rekeying, and we also compare them according to the number of users and the depth of the key tree. The results of the performance analysis show that the proposed hyperledger fabric-based lightweight group management (H-LGM) outperforms the existing method in terms of storage cost, delay, and processing time.
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