信息网络安全

信息网络安全 ›› 2017, Vol. 17 ›› Issue (11): 25-31.doi: 10.3969/j.issn.1671-1122.2017.11.004

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基于零行列式的实时电价攻击防御策略研究

夏卓群1,2,3, 邹逢飞1(), 徐明3, 杨洪朝4   

  1. 1.长沙理工大学计算机与通信工程学院,湖南长沙410114
    2.长沙理工大学综合交通运输大数据智能处理湖南省重点实验室,湖南长沙410114
    3.国防科技大学计算机学院,湖南长沙410073
    4.长沙理工大学经济与管理学院,湖南长沙410114
  • 收稿日期:2017-08-28 出版日期:2017-11-20 发布日期:2020-05-12
  • 作者简介:

    作者简介： 夏卓群（1977—）,男,湖南,教授,博士,主要研究方向为智能电网安全、物联网安全;邹逢飞（1991—）,男,湖南,硕士研究生,主要研究方向为智能电网安全;徐明（1964—）,男,湖南,教授,博士,主要研究方向为无线网络及安全、移动计算技术;杨洪朝（1977—）,男,湖南,博士研究生,主要研究方向为技术经济评价与管理。

  • 基金资助:
    国家自然科学基金[61572514];CCF-启明星辰“鸿雁”科研资助计划项目

Research on Defensive Strategy of Real-time Price Attack Based on Zero-determinant

Zhuoqun XIA1,2,3, Fengfei ZOU1(), Ming XU3, Hongzhao YANG4   

  1. 1. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha Hunan 410114, China
    2. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, Changsha Hunan 410114, China
    3. School of Computer, National University of Defense Technology, Changsha Hunan 410073, China
    4. School of Economics and Management, Changsha University of Science and Technology, Changsha Hunan 410114, China
  • Received:2017-08-28 Online:2017-11-20 Published:2020-05-12

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摘要：

随着智能电网的交互性不断增强,用户根据实时电价动态调整自己的电力负荷需求,但同时也带来了攻击实时电价信号的网络安全隐患。基于用户与电力企业电价的双向互动,文章分析了实时电价攻击对用户负荷需求的影响,提出重复博弈下零行列式实时电价攻击防御策略。实验结果表明,在一定程度保证用户用电满意度的前提下,采用零行列式策略有助于户内能源管理系统实现降低用户期望负荷需求的目标,为预防实时电价攻击提供了决策支持。

关键词: 实时电价攻击, 双向互动, 零行列式策略, 期望负荷需求

Abstract:

With the increasing interactivity of smart grid, users can adjust their own power load demands dynamically according to the real-time price, which also brings the cyber security risk of attacking the real-time price signals. Based on the two-way interaction on the price between the user and the power enterprise, this paper analyzes the impact of RTPA (real-time price attack) on user load demand, and proposes the defense strategy of RTPA base on zero-determinant under repeated games. The experimental results show that, on the premise of to a certain degree to ensure the satisfaction of user power consumptions, adopting the zero-determinant strategy can help the home energy management system effectively realize the goal of reducing the user expected load demand, which provides decision support for the prevention of RTPA.

Key words: real-time price attack, two-way interaction, zero-determinant strategy, expected load demand

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