- 专利标题: Method for statistical analysis of aggregate encrypted data with key-leakage resilience for smart grids
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申请号: US17431133申请日: 2020-07-14
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公开(公告)号: US11979506B2公开(公告)日: 2024-05-07
- 发明人: Xiaojun Zhang , Chao Huang , Jingwei Zhang , Jie Gong , Ziyu Zhou , Shuang Zheng , Jie Zhao
- 申请人: SOUTHWEST PETROLEUM UNIVERSITY
- 申请人地址: CN Sichuan
- 专利权人: SOUTHWEST PETROLEUM UNIVERSITY
- 当前专利权人: SOUTHWEST PETROLEUM UNIVERSITY
- 当前专利权人地址: CN Sichuan
- 代理商 Zhigang Ma
- 优先权: CN 2010399781.1 2020.05.13
- 国际申请: PCT/CN2020/101889 2020.07.14
- 国际公布: WO2021/227241A 2021.11.18
- 进入国家日期: 2021-08-13
- 主分类号: H04L9/32
- IPC分类号: H04L9/32 ; H04L9/00 ; H04L9/06 ; H04L9/14 ; H04L9/30
摘要:
In a method for statistical analysis of aggregate encrypted data with key-leakage resilience for smart grids, every user area is managed by a fog node which plays the role of data aggregation gateway and data relay. All the users' electricity consumption data sent by smart meters in the same user area are firstly aggregated by the fog node to generate a fog-level aggregate ciphertext. Then the fog node further generates a digital signature for the fog-level aggregate ciphertext and sends these data to a cloud server for long-time storage. The cloud server stores all the aggregate ciphertexts and digital signatures received from different user areas in its database, and provides data query and statistical analysis services for the control center of smart grids. On the premise of without violating users' privacy, the cloud server could provide enough information for the control center, enabling it to compute the sum, arithmetic mean and variance of all users' data in specified areas in a privacy-preserving way.
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