Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks

被引：0

作者：

Tang, Daogui ^{[1
]}

Fang, Yiping ^{[1
]}

Zio, Enrico ^{[1
,2
]}

Ramirez-Marquez, Jose Emmanuel ^{[3
]}

机构：

[1] Univ Paris Saclay, Cent Supelec, Chair Syst Sci & Energy Challenge, Fdn Elect France EDF, Paris, France

[2] Politecn Milan, Dept Energy, Milan, Italy

[3] Stevens Inst Technol, Sch Syst & Enterprises, Hoboken, NJ 07030 USA

来源：

2018 3RD INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS) | 2018年

关键词：

smart grids; vulnerability; social network; attacks;

D O I：

10.1109/ICSRS.2018.00029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The idea of coupling social networks with power grids to engage end users has attracted much attention. In this paper, we model a social network-coupled power grid system and analyze its vulnerability to false price attacks initiated on social networks. The false price spreading process is depicted by a price-based multi-level influence propagation model and the corresponding behavior of customers is based on their influence levels. The residential capacity of power lines is adopted to quantify the impact on power systems. A modified IEEE 13 node test feeder and a notional social network are considered as a case study. The vulnerability of the system under different attack scenarios is analyzed.

引用

页码：130 / 134

页数：5

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