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Efficient IoT Management With Resilience to Unauthorized Access to Cloud Storage

Authors
Hahn, ChangheeKim, JongkilKwon, HyunsooHur, Junbeom
Issue Date
4월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
IoT; cloud computing; access control; attribute-based encryption
Citation
IEEE TRANSACTIONS ON CLOUD COMPUTING, v.10, no.2, pp.1008 - 1020
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CLOUD COMPUTING
Volume
10
Number
2
Start Page
1008
End Page
1020
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143117
DOI
10.1109/TCC.2020.2985046
ISSN
2168-7161
Abstract
Cloud-based Internet of Things (IoT) management services are a promising means of ingesting data from globally dispersed devices. In this setting, it is important to regulate access to data managed by potentially untrusted cloud servers. Attribute-based encryption (ABE) is a highly effective tool for access control. However, applying ABE to IoT environments shows limitations in the following three aspects: First, the demands for storage resources increase in proportion to the complexity of the access control policies. Second, the computation cost of ABE is onerous for resource-limited devices. Lastly, ABE alone is intractable to prevent illegal key-sharing which leads to unauthorized access to data. In this article, we propose an efficient and secure cloud-based IoT data management scheme using ABE. First, we remove the storage-side dependency on the complexity of the access control policies. Second, a substantial part of computationally intensive operations is securely outsourced to the cloud servers. Lastly, unauthorized access to data via illegal key-sharing is strictly forbidden. Our security analysis and experimental results show the security and practicability of the proposed scheme.
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