A Privacy-Preserving Middleware Mechanism for Smart Grids

被引：0

作者：

Wu, Yifu ^{[1
]}

He, Youbiao ^{[1
]}

Mendis, Gihan J. ^{[1
]}

Wei, Jin ^{[1
]}

机构：

[1] Univ Akron, Dept Elect & Comp Engn, Akron, OR 44325 USA

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2017) | 2017年

关键词：

middlware mechanism; deep convolutional neural network (DCNN); smart grids; Distributed Energy Resources (DERs);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：394 / 399

页数：6

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