| 引用本文: | 田继伟,王布宏,尚福特,刘帅琦.基于数据驱动的稀疏虚假数据注入攻击[J].电力自动化设备,2017,37(12): |
| TIAN Jiwei,WANG Buhong,SHANG Fute,LIU Shuaiqi.Sparse false data injection attacks based on data driven[J].Electric Power Automation Equipment,2017,37(12): |
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| 摘要: |
| 提出了一种基于数据驱动的稀疏虚假数据注入攻击策略。攻击策略分为3个阶段：第一阶段，基于稀疏优化技术对窃听的数据进行预处理以剔除异常值；第二阶段，基于平行因子分解算法推断不完整的系统信息矩阵；第三阶段，根据推断的系统矩阵，使用凸优化的方法求解稀疏攻击向量。仿真实验结果表明，当存在异常值时，传统的攻击策略无法成功实施，而所提攻击策略仍能成功地实施稀疏虚假数据注入攻击。 |
| 关键词: 虚假数据注入 数据驱动 稀疏优化 平行因子分析 凸优化 状态估计 |
| DOI：10.16081/j.issn.1006-6047.2017.12.007 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(61272486)；信息安全国家重点实验室开放课题基金资助项目(2014-02) |
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| Sparse false data injection attacks based on data driven |
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TIAN Jiwei, WANG Buhong, SHANG Fute, LIU Shuaiqi
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Information and Navigation College, Air Force Engineering University, Xi’an 710077, China
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| Abstract: |
| A sparse false data injection attack strategy based on data driven is proposed. The attack strategy is divided into three stages: in the first stage, intercepted data are preprocessed based on sparsity optimization techniques to eliminate the outliers; in the second stage, the incomplete system information matrix is deduced by parallel factor decomposition algorithm; in the third stage, the sparse attack vectors are solved by convex optimization method based on the system matrix. Results of simulation tests verify that traditional attack strategy can’t be implemented successfully with outliers, while the proposed strategy can still implement the sparse false data injection attack successfully. |
| Key words: false data injection data driven sparsity optimization parallel factor analysis convex optimization state estimation |
