Smart Grids Data Aggregation Method on Paillier Homomorphic Encryption
| Autor: | Shaodong Zhao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Applied Artificial Intelligence, Vol 38, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 08839514 1087-6545 0883-9514 |
| DOI: | 10.1080/08839514.2024.2327901 |
| Popis: | ABSTRACTSmart grid (SGs) is a highly integrated power system, it is gradually replacing the traditional power grid, but at present there are problems in the SGs data aggregation, such as user privacy leakage, grid data query inflexibly and data leakage. In order to solve these problems, this paper studied the SGs data aggregation method based on Paillier homomorphic encryption (HE). In this paper, the Paillier HE algorithm was used to study the power grid data, and the encrypted data was numerically calculated under different encryption states. It used the cloud computing center in the blockchain to directly aggregate the ciphertext data generated by users, and used the hash function to set the secret key to prevent the ciphertext data from being tampered with, and obtained the aggregate result of the original data after decryption by the power grid management center. When the number of security parameters was 30,000, the encryption time required by this method was 21.71 seconds. When the number of smart meters (SMs) was 80, the signature verification time required by this method was 2.31 seconds. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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