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

Shuanggen LIU; Shuangzi ZHENG; Wenbo ZHANG; Runsheng FU

doi:10.1631/FITEE.2100518

Your Location：

Home >

Browse articles >

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

Regular Papers | Updated：2022-09-29

- A power resource dispatching framework with a privacy protection function in the Power Internet of Things
- 电力物联网中具有隐私保护功能的电力资源调度框架
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 9, Pages: 1354-1368(2022)
- Affiliations：
  
  School of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an710121, China
- Author bio：
  
  ‡Corresponding authors
  zhangwenbo@xupt.edu.cn
- Funds：
- DOI：10.1631/FITEE.2100518
  CLC： TP309
- Received：31 October 2021，
  
  Revised：2022-07-04，
  
  Accepted：14 June 2022，
  
  Published：23 September 2022
- Accepted：
Scan QR Code
LIU Shuanggen,ZHENG Shuangzi,ZHANG Wenbo,et al.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(09):1354-1368.
DOI：

LIU Shuanggen,ZHENG Shuangzi,ZHANG Wenbo,et al.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(09):1354-1368. DOI： 10.1631/FITEE.2100518.

摘要

电力物联网（PIoT）中智能电表产生了大量电力数据。然而，这些数据在计算、存储和传输过程中的保密性是一个亟待解决的问题。因此，本文提出一种具有隐私保护功能的电力资源调度框架（PRDF），该框架采用基于云雾协同的无证书聚合签密方案。通过使用假名和聚合用户的电力数据，PRDF不仅保护用户隐私，还降低传统云计算的计算成本和通信开销。此外，如果控制中心（CC）发现用户提交了异常数据，它可以向用户管理中心（UMC）发送请求，以追踪用户真实身份。本文方案满足随机预言机模型的私密性和不可伪造性。此外，通过仿真将该方案和其他聚合签密方案进行比较。仿真结果表明，该方案在计算开销方面优于传统方法。

Abstract

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.

关键词

Keywords

references

Cai JY , 2021 . Power big data analysis technology and application analysis supported by cloud computing technology . Electron World , ( 6 ): 79 - 80 (in Chinese) . https://doi.org/10.19353/j.cnki.dzsj.2021.06.038 https://doi.org/10.19353/j.cnki.dzsj.2021.06.038

Chen JQ , 2016 . The Research on Smart Grid Privacy Protection Method . MS Thesis , Hunan University , Changsha, China (in Chinese) .

Cui MM , Han DZ , Wang J , 2019 . An efficient and safe road condition monitoring authentication scheme based on fog computing . IEEE Internet Things J , 6 ( 5 ): 9076 - 9084 . https://doi.org/10.1109/JIOT.2019.2927497 https://doi.org/10.1109/JIOT.2019.2927497

Guo C , Jiang XR , Choo KKR , et al. , 2020 . Lightweight privacy preserving data aggregation with batch verification for smart grid . Future Gener Comput Syst , 112 : 512 - 523 . https://doi.org/10.1016/j.future.2020.06.001 https://doi.org/10.1016/j.future.2020.06.001

Jia WJ , Zhou XJ , 2018 . Concepts, issues, and applications of fog computing . J Commun , 39 ( 5 ):‍ 153 - 165 (in Chinese) . https://doi.org/10.11959/j.issn.1000-436x.2018086 https://doi.org/10.11959/j.issn.1000-436x.2018086

Jin X , 2021 . Discussion on problems in the application of smart grid and big data technology . Vadose Zone J , 52 ( 8 ): 183 - 184 (in Chinese) .

Kim TH , Kumar G , Saha R , et al. , 2020 . CASCF: certificateless aggregated signcryption framework for Internet-of-Things infrastructure . IEEE Access , 8 : 94748 - 94756 . https://doi.org/10.1109/ACCESS.2020.2995443 https://doi.org/10.1109/ACCESS.2020.2995443

Li C , Qi ZH , 2020 . An efficient and safe certificateless signcryption scheme . Comput Technol Dev , 30 ( 10 ):‍ 117 - 122 (in Chinese) . https://doi.org/10.3969/j.issn.1673-629X.2020.10.022 https://doi.org/10.3969/j.issn.1673-629X.2020.10.022

Li HJ , Gao Q , 2021 . Overview of privacy protection technologies for smart meters using rechargeable batteries . J Shanghai Univ Electr Power , 37 ( 1 ): 23 - 26, 43 (in Chinese) . https://doi.org/10.3969/j.issn.2096-8299.2021.01.005 https://doi.org/10.3969/j.issn.2096-8299.2021.01.005

Lyu LJ , Nandakumar K , Rubinstein B , et al. , 2018 . PPFA: privacy preserving fog-enabled aggregation in smart grid . IEEE Trans Ind Inform , 14 ( 8 ): 3733 - 3744 . https://doi.org/10.1109/TII.2018.2803782 https://doi.org/10.1109/TII.2018.2803782 .

Ma B , Yuan L , Liu WZ , et al. , 2019 . Distribution mechanism for smart grid based on cloud-fog computing . Electr Meas Instrum , 56 ( 24 ): 67 - 72 (in Chinese) . https://doi.org/10.19753/j.issn1001-1390.2019.024.011 https://doi.org/10.19753/j.issn1001-1390.2019.024.011

Ma JJ , Zhang ZQ , Cao SZ , et al. , 2021 . Distributed attributebased encryption scheme based on fog nodes . Comput Eng , 47 ( 6 ): 38 - 43 (in Chinese) . https://doi.org/10.19678/j.issn.1000-3428.0060063 https://doi.org/10.19678/j.issn.1000-3428.0060063

Nkenyereye L , Liu CH , Song JS , 2019 . Towards secure and privacy preserving collision avoidance system in 5G fog based Internet of Vehicles . Future Gener Comput Syst , 95 : 488 - 499 . https://doi.org/10.1016/j.future.2018.12.031 https://doi.org/10.1016/j.future.2018.12.031

Ramanan P , Li D , Gebraeel N , 2021 . Blockchain-based decentralized replay attack detection for large-scale power systems . IEEE Trans Syst Man Cybern Syst , 52 ( 8 ): 4727 - 4739 . https://doi.org/10.1109/TSMC.2021.3104087 https://doi.org/10.1109/TSMC.2021.3104087

Shen H , Liu YJ , Xia Z , et al. , 2020 . An efficient aggregation scheme resisting on malicious data mining attacks for smart grid . Inform Sci , 526 : 289 - 300 . https://doi.org/10.1016/j.ins.2020.03.107 https://doi.org/10.1016/j.ins.2020.03.107

Sui ZY , de Meer H , 2020 . An efficient signcryption protocol for hop-by-hop data aggregations in smart grids . IEEE J Sel Areas Commun , 38 ( 1 ): 132 - 140 . https://doi.org/10.1109/JSAC.2019.2951965 https://doi.org/10.1109/JSAC.2019.2951965

Ul Hassan M , Rehmani MH , Kotagiri R , et al. , 2019 . Differential privacy for renewable energy resources based smart metering . J Parall Distrib Comput , 131 : 69 - 80 . https://doi.org/10.1016/j.jpdc.2019.04.012 https://doi.org/10.1016/j.jpdc.2019.04.012

Wang L , 2019 . Research on Provable Secure Aggregate Signature Scheme and Its Application . MS Thesis , East China Jiaotong University , Nanchang, China (in Chinese) . https://doi.org/10.27147/d.cnki.ghdju.2019.000367 https://doi.org/10.27147/d.cnki.ghdju.2019.000367

Wang QY , Chen J , Zhuang LS , 2020 . Batch verification of linkable ring signature in smart grid . J Cryptol Res , 7 ( 5 ): 616 - 627 (in Chinese) . https://doi.org/10.13868/j.cnki.jcr.000394 https://doi.org/10.13868/j.cnki.jcr.000394

Wang XD , Liu YN , Choo KKR , 2021 . Fault-tolerant multi-subset aggregation scheme for smart grid . IEEE Trans Ind Inform , 17 ( 6 ): 4065 - 4072 . https://doi.org/10.1109/TII.2020.3014401 https://doi.org/10.1109/TII.2020.3014401

Xia ZQ , Zhang YC , Gu K , et al. , 2022 . Secure multidimensional and multi-angle electricity data aggregation scheme for fog computing-based smart metering system . IEEE Trans Green Commun Netw , 6 ( 1 ): 313 - 328 . https://doi.org/10.1109/TGCN.2021.3122793 https://doi.org/10.1109/TGCN.2021.3122793

Xie GM , Li SL , 2020 . Smart grid data privacy preserving scheme based on noise and aggregation signcryption . Mod Comput , 26 ( 10 ): 18 - 22 (in Chinese) . https://doi.org/10.3969/j.issn.1007-1423.2020.10.004 https://doi.org/10.3969/j.issn.1007-1423.2020.10.004

Xu JW , Ota K , Dong MX , et al. , 2018 . SIoTFog: Byzantine-resilient IoT fog networking . Front Inform Technol Electron Eng , 19 ( 12 ): 1546 - 1557 . https://doi.org/10.1631/FITEE.1800519 https://doi.org/10.1631/FITEE.1800519

Yu CM , Chen CY , Kuo SY , et al. , 2014 . Privacy-preserving power request in smart grid networks . IEEE Syst J , 8 ( 2 ): 441 - 449 . https://doi.org/10.1109/JSYST.2013.2260680 https://doi.org/10.1109/JSYST.2013.2260680

Yu HF , Ren RT , 2022 . Certificateless elliptic curve aggregate signcryption scheme . IEEE Syst J , 16 ( 2 ): 2347 - 2354 . https://doi.org/10.1109/JSYST.2021.3096531 https://doi.org/10.1109/JSYST.2021.3096531

Zhang LY , 2021 . Research on smart grid dispatching platform based on cloud computing . Power Syst Big Data , 24 ( 2 ): 34 - 40 (in Chinese) . https://doi.org/10.19317/j.cnki.1008-083x.2021.02.005 https://doi.org/10.19317/j.cnki.1008-083x.2021.02.005

Zhang SM , Zhao YQ , Wang BY , 2018 . Certificateless ring signcryption scheme for preserving user privacy in smart grid . Autom Electr Power Syst , 42 ( 3 ): 118 - 123,135 (in Chinese) . https://doi.org/10.7500/AEPS20170817006 https://doi.org/10.7500/AEPS20170817006

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰