In this paper, we propose a privacy-preserving middleware mechanism for managing the massive data flows in smart grids and securing the communications. In our proposed middleware mechanism, we exploit the deep learning techniques and develop a privacy-preserving deep convolutional neural network (DCNN)-based method that leverages the public network infrastructure for intrusion detection. The simulation results evaluate the effectiveness of our privacy-preserving middleware mechanism in securing the communications of smart grids.
展开▼
