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.
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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
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
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
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
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
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: certificate-less aggregated signcryption framework for Internet-of-Things infrastructure. IEEE Access, 8:94748–94756. 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
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
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.
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
Ma JJ, Zhang ZQ, Cao SZ, et al., 2021. Distributed attribute-based encryption scheme based on fog nodes. Comput Eng, 47(6):38–43 (in Chinese). 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
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
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
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
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/jjpdc.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
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
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
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
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
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
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
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
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
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
Author information
Authors and Affiliations
Contributions
Shuanggen LIU designed the research. Shuangzi ZHENG and Wenbo ZHANG processed the data. Shuangzi ZHENG drafted and organized the paper. Shuangzi ZHENG and Runsheng FU revised and finalized the paper.
Corresponding author
Ethics declarations
Shuanggen LIU, Shuangzi ZHENG, Wenbo ZHANG, and Runsheng FU declare that they have no conflict of interest.
Additional information
Project supported by the National Natural Science Foundation of China (No. 62102311) and the Key Research and Development Program of Shaanxi, China (No. 2021NY-211)
Rights and permissions
About this article
Cite this article
Liu, S., Zheng, S., Zhang, W. et al. A power resource dispatching framework with a privacy protection function in the Power Internet of Things. Front Inform Technol Electron Eng 23, 1354–1368 (2022). https://doi.org/10.1631/FITEE.2100518
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1631/FITEE.2100518
Key words
- Power Internet of Things
- Cloud-fog cooperation
- Elliptic curve
- Random oracle model
- Certificateless aggregate signcryption