A Privacy-protection Scheme for Smart Water Grid Based on Blockchain and Machine Learning
Yandja, L.
; Chaari, L.
; Fourati, M.
;
Barraca, J. P.
A Privacy-protection Scheme for Smart Water Grid Based on Blockchain and Machine Learning, Proc IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing - CSNDSP, Porto, Portugal, Vol. , pp. - , July, 2020.
Digital Object Identifier:
Download Full text PDF ( 330 KBs)
Abstract
In Smart Water Grid (SWG), smart water meters
(SWMs) are installed in customers ’ homes in order to provide
near-real-time water consumption data. However, near-real-time
data collected by SWMs can reveal the user’s privacy. In this
paper, we propose a user privacy protection scheme that relies
on Blockchain technology and a Machine Learning algorithm
called k-means++. K-means++ is used to group users into clusters
and, each cluster has a private Blockchain to record its members’
data. We use pseudonyms to mask users’ identities and the Bloom
filter is used for quick authentication. The proposed scheme is
validated using simulations in python.
