Visible to the public A Data Aggregation Scheme with Fine-Grained Access Control for the Smart Grid

TitleA Data Aggregation Scheme with Fine-Grained Access Control for the Smart Grid
Publication TypeConference Paper
Year of Publication2017
AuthorsWen, M., Zhang, X., Li, H., Li, J.
Conference Name2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
KeywordsAccess Control, attribute decision tree, authorisation, control center, data aggregation, data aggregation scheme, data integrity, data privacy, data privacy preservation, data utility, Decision trees, Encryption, energy consumers, fine- grained data access control, fine-grained access control, human factors, power engineering computing, privacy, pubcrawl, real-time usage data, Smart grid, smart grid consumer privacy, Smart grids, smart meters, smart power grids

With the rapid development of smart grid, smart meters are deployed at energy consumers' premises to collect real-time usage data. Although such a communication model can help the control center of the energy producer to improve the efficiency and reliability of electricity delivery, it also leads to some security issues. For example, this real-time data involves the customers' privacy. Attackers may violate the privacy for house breaking, or they may tamper with the transmitted data for their own benefits. For this purpose, many data aggregation schemes are proposed for privacy preservation. However, rare of them cares about both the data aggregation and fine-grained access control to improve the data utility. In this paper, we proposes a data aggregation scheme based on attribute decision tree. Security analysis illustrates that our scheme can achieve the data integrity, data privacy preservation and fine- grained data access control. Experiment results show that our scheme are more efficient than existing schemes.

Citation Keywen_data_2017