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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.

电力物联网中具有隐私保护功能的电力资源调度框架

[1]Cai JY, 2021. Power big data analysis technology and application analysis supported by cloud computing technology. Electron World, (6):79-80 (in Chinese).

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

[3]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.

[4]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.

[5]Jia WJ, Zhou XJ, 2018. Concepts, issues, and applications of fog computing. J Commun, 39(5):‍153-165 (in Chinese).

[6]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).

[7]Kim TH, Kumar G, Saha R, et al., 2020. CASCF: certificateless aggregated signcryption framework for Internet-of-Things infrastructure. IEEE Access, 8:94748-94756.

[8]Li C, Qi ZH, 2020. An efficient and safe certificateless signcryption scheme. Comput Technol Dev, 30(10):‍117-122 (in Chinese).

[9]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).

[10]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.

[11]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).

[12]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).

[13]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.

[14]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.

[15]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.

[16]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.

[17]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.

[18]Wang L, 2019. Research on Provable Secure Aggregate Signature Scheme and Its Application. MS Thesis, East China Jiaotong University, Nanchang, China (in Chinese).

[19]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).

[20]Wang XD, Liu YN, Choo KKR, 2021. Fault-tolerant multi-subset aggregation scheme for smart grid. IEEE Trans Ind Inform, 17(6):4065-4072.

[21]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.

[22]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).

[23]Xu JW, Ota K, Dong MX, et al., 2018. SIoTFog: Byzantine-resilient IoT fog networking. Front Inform Technol Electron Eng, 19(12):1546-1557.

[24]Yu CM, Chen CY, Kuo SY, et al., 2014. Privacy-preserving power request in smart grid networks. IEEE Syst J, 8(2):441-449.

[25]Yu HF, Ren RT, 2022. Certificateless elliptic curve aggregate signcryption scheme. IEEE Syst J, 16(2):2347-2354.

[26]Zhang LY, 2021. Research on smart grid dispatching platform based on cloud computing. Power Syst Big Data, 24(2):34-40 (in Chinese).

[27]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).