Efficient IoT Management With Resilience to Unauthorized Access to Cloud Storage
- Authors
- Hahn, Changhee; Kim, Jongkil; Kwon, Hyunsoo; Hur, 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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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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