LAPSE:2023.5557
Published Article

LAPSE:2023.5557
An Efficient ECC-Based CP-ABE Scheme for Power IoT
February 23, 2023
Abstract
The rapid development of the power Internet of Things (IoT) has greatly enhanced the level of security, quality and efficiency in energy production, energy consumption, and related fields. However, it also puts forward higher requirements for the security and privacy of data. Ciphertext-policy attribute-based encryption (CP-ABE) is considered a suitable method to solve this issue and can implement fine-grained access control. However, its internal bilinear pairing operation is too expensive, which is not suitable for power IoT with limited computing resources. Hence, in this paper, a novel CP-ABE scheme based on elliptic curve cryptography (ECC) is proposed, which replaces the bilinear pairing operation with simple scalar multiplication and outsources most of the decryption work to edge devices. In addition, time and location attributes are combined in the proposed scheme, allowing the data users to access only within the range of time and locations set by the data owners to achieve a more fine-grained access control function. Simultaneously, the scheme uses multiple authorities to manage attributes, thereby solving the performance bottleneck of having a single authority. A performance analysis demonstrates that the proposed scheme is effective and suitable for power IoT.
The rapid development of the power Internet of Things (IoT) has greatly enhanced the level of security, quality and efficiency in energy production, energy consumption, and related fields. However, it also puts forward higher requirements for the security and privacy of data. Ciphertext-policy attribute-based encryption (CP-ABE) is considered a suitable method to solve this issue and can implement fine-grained access control. However, its internal bilinear pairing operation is too expensive, which is not suitable for power IoT with limited computing resources. Hence, in this paper, a novel CP-ABE scheme based on elliptic curve cryptography (ECC) is proposed, which replaces the bilinear pairing operation with simple scalar multiplication and outsources most of the decryption work to edge devices. In addition, time and location attributes are combined in the proposed scheme, allowing the data users to access only within the range of time and locations set by the data owners to achieve a more fine-grained access control function. Simultaneously, the scheme uses multiple authorities to manage attributes, thereby solving the performance bottleneck of having a single authority. A performance analysis demonstrates that the proposed scheme is effective and suitable for power IoT.
Record ID
Keywords
CP-ABE, edge computing, elliptic curve, multiple authorities, outsourcing, pairing free, power IoT, time and location
Subject
Suggested Citation
Cheng R, Wu K, Su Y, Li W, Cui W, Tong J. An Efficient ECC-Based CP-ABE Scheme for Power IoT. (2023). LAPSE:2023.5557
Author Affiliations
Cheng R: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Wu K: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Su Y: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Li W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Cui W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Tong J: China Electric Power Research Institute, No. 15, Qinghe Xiaoying Road, Beijing 100192, China
Wu K: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Su Y: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Li W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Cui W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Tong J: China Electric Power Research Institute, No. 15, Qinghe Xiaoying Road, Beijing 100192, China
Journal Name
Processes
Volume
9
Issue
7
First Page
1176
Year
2021
Publication Date
2021-07-06
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9071176, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.5557
This Record
External Link

https://doi.org/10.3390/pr9071176
Publisher Version
Download
Meta
Record Statistics
Record Views
314
Version History
[v1] (Original Submission)
Feb 23, 2023
Verified by curator on
Feb 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.5557
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.1 seconds)
[0.1 s]
