TY - GEN
T1 - Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid
AU - Guan, Zhitao
AU - Si, Guanlin
AU - Du, Xiaojiang
AU - Liu, Peng
AU - Zhang, Zijian
AU - Zhou, Zhenyu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/28
Y1 - 2017/7/28
N2 - 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.
AB - 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.
KW - big data
KW - fault tolerance
KW - privacy-preserving
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=85028320562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028320562&partnerID=8YFLogxK
U2 - 10.1109/ICC.2017.7997371
DO - 10.1109/ICC.2017.7997371
M3 - Conference contribution
AN - SCOPUS:85028320562
T3 - IEEE International Conference on Communications
BT - 2017 IEEE International Conference on Communications, ICC 2017
A2 - Debbah, Merouane
A2 - Gesbert, David
A2 - Mellouk, Abdelhamid
T2 - 2017 IEEE International Conference on Communications, ICC 2017
Y2 - 21 May 2017 through 25 May 2017
ER -