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| Title | Enabling Efficient Multidimensional Encrypted Data Aggregation For Fog-Cloud-Based Smart Grid |
|---|---|
| ID_Doc | 22994 |
| Authors | Shi H.; Zhao J.; Gu C.; Wang M.; Huang H. |
| Year | 2023 |
| Published | IEEE International Conference on Cloud Computing, CLOUD, 2023-July |
| DOI | http://dx.doi.org/10.1109/CLOUD60044.2023.00075 |
| Abstract | Smart grid is widely deployed in the modern smart city. However, the frequent network attacks on smart grid today have raised concerns about the privacy and security of individual fine-grained information collection. Moreover, once the secret key held by the data control center is disclosed, any adversary could easily break the indistinguishability of ciphertexts, thereby revealing users privacy. To this end, we propose an enabling efficient multidimensional encrypted data aggregation scheme for fog-cloud-based smart grid by using the improved Boneh-Goh-Nissim cryptosystem and the super-increasing vector technique, which can realize efficient multi-source multidimensional encrypted data aggregation in the fog-cloud architecture. The security analysis demonstrates that our scheme can satisfy security requirements of smart grid, i.e. it achieves the usage data privacy protection and confidentiality, multidimensional aggregation data integrity, and key-disclosure resistance. The performance evaluations show that our scheme is more efficient than related data aggregation schemes. © 2023 IEEE. |
| Author Keywords | BGN cryptosystem; Fog-cloud-based smart grid; key-disclosure resistance; super-increasing vector |
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