Visible to the public Protecting User Privacy Based on Secret Sharing with Fault Tolerance for Big Data in Smart Grid

TitleProtecting User Privacy Based on Secret Sharing with Fault Tolerance for Big Data in Smart Grid
Publication TypeConference Paper
Year of Publication2017
AuthorsGuan, Z., Si, G., Du, X., Liu, P., Zhang, Z., Zhou, Z.
Conference Name2017 IEEE International Conference on Communications (ICC)
KeywordsBig Data, big data privacy, computerised monitoring, control center, data aggregation, data aggregation scheme, data privacy, dynamic price, Encryption, Fault tolerance, fault tolerant control, Fault tolerant systems, human factors, Metrics, policy, power system measurement, Privacy-preserving, private key cryptography, pubcrawl, Real-time Systems, Resiliency, Scalability, secret sharing, Smart grid, Smart grids, smart meters, smart power grids, telecommunication security, user privacy

In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home. Big data acquired in smart grid applications is usually sensitive. For instance, in order to dispatch accurately and support the dynamic price, lots of smart meters are installed at user's house to collect the real-time data, but all these collected data are related to user privacy. In this paper, we propose a data aggregation scheme based on secret sharing with fault tolerance in smart grid, which ensures that control center gets the integrated data without revealing user's privacy. Meanwhile, we also consider fault tolerance during the data aggregation. At last, we analyze the security of our scheme and carry out experiments to validate the results.

Citation Keyguan_protecting_2017