Abstract
To realize more efficient load distribution, smart grid introduces a real-time electricity price billing strategy. In this kind of market, due to the interaction of a large amount of real-time data between the smart grid and users, the privacy of users has become a key issue. In the existing billing scheme based on homomorphic encryption, it usually introduces a third party to calculate the electricity bill, which leads to huge computing cost. We propose a data aggregation and realtime electricity price billing scheme on the basis of homomorphic encryption without a third party or electricity suppliers to participate in to reduce the computing cost. In our scheme, the local gateway uses hybrid multiplicative homomorphic algorithm for billing, which greatly reduces the system cost. Users' privacy is protected in the process of meter billing and bill verification in the meantime. Through experiments and performance analysis, the program has good security and better performance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2545-2550 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665440899 |
| DOIs | |
| State | Published - 2021 |
| Event | 33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China Duration: 22 May 2021 → 24 May 2021 |
Publication series
| Name | Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 |
|---|
Conference
| Conference | 33rd Chinese Control and Decision Conference, CCDC 2021 |
|---|---|
| Country/Territory | China |
| City | Kunming |
| Period | 22/05/21 → 24/05/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Homomorphic encryption
- Privacy protection
- Real-time electricity billing
- Smart grid
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