Research on Homomorphic Encryption Clustering Algorithm for Smart Grid Privacy Preserving

DOI

10.2991/icimm-16.2016.138How to use a DOI?

Keywords

the smart grid, privacy preserving, data mining.

Abstract

In order to solve the recent privacy issues in the process of the smart grid data mining, this paper analyzes the data mining techniques for the smart grid data and states the existing research methods of the privacy issues in the process of the smart grid data mining; Then this paper designs a homomorphic encryption clustering algorithm for smart grid privacy preserving. This algorithm uses homomorphic encryption to encrypt the clustering data in local stations sent to the global station. After processing the encrypted data, the global station sends the data back to the local stations for decryption. The experiment using the sample data of the database of the power quality detection network shows that we can classify the consumers by clustering their daily load curves. Finally, we demonstrate that this algorithm can protect the privacy of the smart grid data effectively by deducing the correctness and security of this algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yun Yang
AU  - Xiaoyong Zhang
AU  - Zhu Zhu
AU  - Juan Lei
PY  - 2016/11
DA  - 2016/11
TI  - Research on Homomorphic Encryption Clustering Algorithm for Smart Grid Privacy Preserving
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 763
EP  - 767
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.138
DO  - 10.2991/icimm-16.2016.138
ID  - Yang2016/11
ER  -