Full Text:   <3775>

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CLC number: TP309

On-line Access: 2022-09-21

Received: 2021-10-31

Revision Accepted: 2022-09-21

Crosschecked: 2022-06-14

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Shuanggen LIU


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.9 P.1354-1368


A power resource dispatching framework with a privacy protection function in the Power Internet of Things

Author(s):  Shuanggen LIU, Shuangzi ZHENG, Wenbo ZHANG, Runsheng FU

Affiliation(s):  School of Cyberspace Security, Xian University of Posts and Telecommunications, Xian 710121, China

Corresponding email(s):   liusgxupt@163.com, zhangwenbo@xupt.edu.cn

Key Words:  Power Internet of Things, Cloud-fog cooperation, Elliptic curve, Random oracle model, Certificateless aggregate signcryption

Shuanggen LIU, Shuangzi ZHENG, Wenbo ZHANG, Runsheng FU. A power resource dispatching framework with a privacy protection function in the Power Internet of Things[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(9): 1354-1368.

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publisher="Zhejiang University Press & Springer",

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%T A power resource dispatching framework with a privacy protection function in the Power Internet of Things
%A Shuanggen LIU
%A Shuangzi ZHENG
%A Wenbo ZHANG
%A Runsheng FU
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%DOI 10.1631/FITEE.2100518

T1 - A power resource dispatching framework with a privacy protection function in the Power Internet of Things
A1 - Shuanggen LIU
A1 - Shuangzi ZHENG
A1 - Wenbo ZHANG
A1 - Runsheng FU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 9
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100518

Smart meters in the power Internet of Things generate a large amount of power data. However, data privacy in the process of calculation, storage, and transmission is an urgent problem to be solved. Therefore, in this paper we propose a power resource dispatching framework (PRDF) with a privacy protection function, which uses a certificateless aggregate signcryption scheme based on cloud-fog cooperation. Using pseudonyms and aggregating users’ power data, PRDF not only protects users’ privacy, but also reduces the computing cost and communication overhead under traditional cloud computing. In addition, if the control center finds that a user has submitted abnormal data, it can send a request to the user management center to track the real identity of the user. Our scheme satisfies security requirements based on the random oracle model, including confidentiality and unforgeability. Furthermore, we compare our scheme with other certificateless aggregate signcryption schemes by simulations. Simulation results show that compared with traditional methods, our method performs better in terms of the computation cost.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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