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Distributed Attribute-Based Signature With Attribute Dynamic Update for Smart Grid | IEEE Journals & Magazine | IEEE Xplore

Distributed Attribute-Based Signature With Attribute Dynamic Update for Smart Grid


Abstract:

Smart grid is gaining more and more attention as one of the typical applications of Internet of Things. However, in a distributed environment, how to guarantee the privac...Show More

Abstract:

Smart grid is gaining more and more attention as one of the typical applications of Internet of Things. However, in a distributed environment, how to guarantee the privacy of users in electricity trading while ensuring the efficiency of the transactions is one of the urgent issues to be solved. In this article, we propose a distributed attribute-based signature (DABS) scheme for distributed electricity trading, which can support users' free choice of trade objects without revealing their real identities. We construct a signature generation and verification method by taking advantage of the open and hard-to-tamper properties of blockchain to achieve signature verifiability independent of dynamic changes in attributes.To improve the update efficiency, we propose an improved scheme that enables the update complexity to be reduced from O(n) to O(\log n), where n is the number of users. Finally, performance analysis and simulation experiments demonstrate the security and practicality of the DABS.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 19, Issue: 9, September 2023)
Page(s): 9424 - 9435
Date of Publication: 12 December 2022

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Citations are not available for this document.

I. Introduction

With the rapid development of Internet of Things (IoT) technology and the popularity of IoT devices [1], [2], an era of the interconnection of everything has arrived. A prominent example of the IoT is the smart grid [3], which can be seen as the next generation of the electricity grid [4]. Smart grids consist of multiple smart components that sense measurements and send this data over the network, thus enabling real-time feedback on energy consumption. The widespread use of smart grid technologies is due to the popularity of the use of heterogeneous energy sources such as renewable and nonrenewable resources and the need for simultaneous energy production and consumption. Smart grid has new features such as dynamic and transparent electricity prices, free electricity trading between energy producers and energy consumers [5], etc. Specifically, households, communities, or factories cannot only meet their own electricity needs by generating electricity by themselves, but also make profits by selling excess electricity to nearby users at a suitable price through the smart grid [6], [7].

Cites in Papers - |

Cites in Papers - IEEE (7)

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1.
Ping He, Yue Cai, Yangqing Gu, Rui Bait, Shengli Xing, Tianle Liu, "Fully Dynamic Group Signature for Smart Grid", 2024 12th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), pp.14-19, 2024.
2.
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4.
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6.
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7.
Zaikai Yang, Qian Lu, Hanlin Zhang, Fei Chen, Hequn Xian, "Eliminating Rogue Access Point Attacks in IoT: A Deep Learning Approach With Physical-Layer Feature Purification and Device Identification", IEEE Internet of Things Journal, vol.11, no.8, pp.14886-14900, 2024.

Cites in Papers - Other Publishers (9)

1.
Wu Xiangyu, Du Xuehui, Yang Qiantao, Liu Aodi, Wang Wenjuan, "Dynamic fine-grained access control for smart contracts based on improved attribute-based signature", The Journal of Supercomputing, vol.81, no.1, 2025.
2.
Nan Li, Qianqian Su, "An efficient position-sensitive fuzzy keyword search scheme for encrypted data on hybrid cloud", Cluster Computing, vol.28, no.1, 2025.
3.
Li Yan, Gaozhou Wang, Tian Yin, Peishun Liu, Hongxin Feng, Wenbin Zhang, Hailin Hu, Fading Pan, "Attribute-Based Searchable Encryption: A Survey", Electronics, vol.13, no.9, pp.1621, 2024.
4.
Wenjing Gao, Wei Liang, Rong Hao, Jia Yu, "Enabling Privacy-Preserving Non-Interactive Computation for Hamming Distance", Information Sciences, pp.120592, 2024.
5.
Duo Wu, Leibo Li, Weizhong Tian, Hequn Xian, Chengliang Tian, "Biometric identification on the cloud: A more secure and faster construction", Information Sciences, pp.120553, 2024.
6.
Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee, "A study on the traceable attribute-based signature scheme provided with anonymous credentials", Connection Science, vol.36, no.1, 2024.
7.
Jing Zhao, Qianqian Su, "A threshold traceable delegation authorization scheme for data sharing in healthcare", Computers & Security, vol.139, pp.103686, 2024.
8.
Yang Lv, Zhiqiang Lv, Zesheng Cheng, Zhanqi Zhu, Taha Hossein Rashidi, "TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction", Transportation Research Part E: Logistics and Transportation Review, vol.177, pp.103251, 2023.
9.
Yunfeng Zhang, Rong Hao, Xinrui Ge, Jia Yu, "Verifiable fuzzy keyword search supporting sensitive information hiding for data sharing in cloud-assisted e-healthcare systems", Journal of Systems Architecture, pp.102940, 2023.
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References

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