Research on the application of network intrusion feature extraction in power network

Li Yichao; Zhang Lei; Yi Jinci; Wang Jun

首页> 外文期刊>International journal of autonomous and adaptive communications systems >Research on the application of network intrusion feature extraction in power network

【24h】

Research on the application of network intrusion feature extraction in power network

机译：网络侵入特征提取在电网中的应用研究

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

In order to overcome the problems of low accuracy and high time cost of traditional methods of power grid intrusion feature extraction, a method of power grid intrusion feature extraction based on fuzzy c-means clustering is proposed, and a power statistical sequence model is established. The structure of intrusion statistical feature sequence is reconstructed by using fuzzy association rule scheduling method. Extract the spectrum density feature of power grid intrusion sequence, realise the optimal clustering processing of Power Grid Intrusion Feature by fuzzy c-means clustering method, and realise the automatic clustering processing of Power Grid Intrusion Feature by global optimisation method. The experimental results show that this method can achieve the automatic clustering of intrusion feature extraction and improve the anti attack ability of power grid.

机译：为了克服传统的电网入侵特征提取方法的低精度和高时间成本，提出了一种基于模糊C-均值聚类的电网侵入特征提取方法，建立了电力统计序列模型。通过使用模糊关联规则调度方法重建入侵统计特征序列的结构。提取电网入侵序列的频谱密度特征，实现了通过模糊C均值聚类方法实现电网侵入特征的最佳聚类处理，并通过全局优化方法实现了电网侵入特征的自动聚类处理。实验结果表明，该方法可以实现入侵特征提取的自动聚类，提高电网的防攻击能力。

著录项

来源
《International journal of autonomous and adaptive communications systems》 |2021年第4期|342-353|共12页
作者
Li Yichao; Zhang Lei; Yi Jinci; Wang Jun;
展开▼
作者单位

State Grid Hebei Information and Communications Technology Company;

State Grid Hebei Information and Communications Technology Company;

State Grid Hebei Information and Communications Technology Company;

State Grid Hebei Information and Communications Technology Company;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
network intrusion; feature extraction; power network; detection; fuzzy c-means clustering; power grid intrusion feature;

机译：网络侵入;特征提取;电网;检测;模糊C-均值聚类;电网入侵功能;

相似文献

外文文献
中文文献
专利

1. Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection [J] . Ling Tan, Chong Li, Jingming Xia, 计算机、材料和连续体(英文) . 2019,第007期
2. A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection [J] . Serafeim Moustakidis, Patrik Karlsson 网络空间安全科学与技术（英文版） . 2020,第003期
3. Risk based security assessment of power system using generalized regression neural network with feature extraction [J] . M.Marsadek, A.Mohamed 中南大学学报（英文版） . 2013,第002期
4. Multi-class pattern classification using single, multi-dimensional feature-space feature extraction evolved by multi-objective genetic programming and its application to network intrusion detection [J] . Khaled Badran, Peter Rockett Genetic programming and evolvable machines . 2012,第1期

机译：基于多目标遗传规划的单维多维特征空间特征提取的多类模式分类及其在网络入侵检测中的应用
5. The Use of Flow Features in Lossy Network Traffic Compression for Network Intrusion Detection Applications [J] . Sidney Smith, Robert J. Hammell II Journal of Systemics, Cybernetics and Informatics . 2019,第2期

机译：用于网络入侵检测应用的有损网络流量压缩中的流特征的使用
6. Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection [J] . Ling Tan, Chong Li, Jingming Xia, Computers, Materials & Continua . 2019,第1期

机译：自组织特征地图神经网络在网络入侵检测中的基于K-Mease集群的应用
7. Session Duration Based Feature Extraction for Network Intrusion Detection in Control System Networks [C] . Stanislav Ponomarev, Travis Atkison International Conference on Computational Science and Computational Intelligence . 2016

机译：控制系统网络中基于会话时长的特征提取用于网络入侵检测
8. Feature Extraction Using Topological Data Analysis for Machine Learning and Network Science Applications [D] . Guo, Wei . 2020

机译：采用机器学习和网络科学应用的拓扑数据分析特征提取
9. Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging [O] . Qinlin Xiao, Xiulin Bai, Pan Gao, 2020

机译：基于神经网络的应用基于神经网络的特征提取和数据融合来通过可见/短波近红外线和近红外高光谱成像进行地理原产地对地域原产地识别
10. Application of Self-organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection [O] . Tan Ling, Li Chong, Xia Jingming, 2019

机译：自组织特征地图神经网络在网络入侵检测中的基于K-Mease集群的应用
11. Neural Detection of Malicious Network Activities Using a New Direct Parsing and Feature Extraction Technique. [R] . Low, C. H. 2015

机译：利用新的直接解析和特征提取技术对恶意网络活动进行神经检测。

Research on the application of network intrusion feature extraction in power network

摘要

著录项

相似文献

相关主题

期刊订阅