Fault-tolerant safe lightweight data aggregation method in smart grid environment
A data aggregation and smart grid technology, applied in the field of data aggregation, can solve problems such as incorrect aggregation results and high computing overhead
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Embodiment 1
[0043] Such as figure 2 As shown, this embodiment discloses a fault-tolerant safe lightweight data aggregation method in a smart grid environment, including the following steps:
[0044] S1. System initialization, the power supply center is the i-th smart meter SM in the user area i Assign a pseudo-identity PID i , smart meter key K i , flag e i And the security proof random number u, the power supply center assigns the real identity ID of the gateway to the gateway GW GW and gateway key K as , and then the power supply center generates the basis vector A, a secure one-way anti-collision hash function h and the number of aggregation rounds L i , where i∈[1,User Max ], User Max is the total number of users in the user area;
[0045] S2. Mutual authentication between the power supply center PS and the gateway GW, the i-th smart meter SM i Realize the identity legality verification of the power supply center PS and the gateway GW, and share the identity verification par...
Embodiment 2
[0069] The fine-grained measurement of household energy consumption by smart meters raises serious privacy concerns. Existing solutions will encrypt the data before uploading it to the aggregator. In the smart grid, existing data aggregation schemes are mainly divided into two categories, one is based on homomorphic encryption, and the other is based on masking. However, smart meters have problems such as limited computing power and small storage space. However, the data aggregation scheme based on homomorphic encryption has high computational overhead and requires smart meters to have certain processing capabilities. Therefore, the data aggregation scheme based on homomorphic encryption is not suitable for smart grids. environment.
[0070] Due to various reasons in reality, the smart meter cannot upload the power data to the aggregator. In this way, the power supply center cannot know which users failed to upload data in time, and the aggregation result obtained is also wr...
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