The issue of energy shortage has arisen in recent years.
All countries must discuss the manner to reduce energy consumption, and smart grid is a better one of the solutions.
According to related researches, energy consumption can be effectively reduced using energy management information of smart grids.
By using smart grids, electricity suppliers can learn about the current energy consumption of neighborhoods, and control the electrical energy generation and price of electrical energy. Users can learn the current price of electrical energy and obtain energy management information from smart meters for energy management and device control. However, electricity consumptions of users may divulge the privacy information of users. Therefore, privacy of users and communication security of smart grid become crucial security issues. In this thesis, we propose a provably secure power usage data aggregation scheme for smart grids. Electricity suppliers can learn about the current power usage of neighborhoods without knowing the individual electricity consumption of each user, and use the current power usage of neighborhoods to arrange energy distribution. Therefore, electricity suppliers cannot use the data to reveal lifestyles of each user. In our scheme, the transmission information is encrypted and signed to prevent theft or tampering of data. Finally, we also provide formal proofs for our scheme in this thesis.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0828112-111442 |
| Date | 28 August 2012 |
| Creators | Lai, Yi-Lung |
| Contributors | Shi-Ming Huang, D. J. Guan, Chun-I Fan, Chi-Yao Weng, Wei-Che Sun |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-111442 |
| Rights | user_define, Copyright information available at source archive |
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