Yihe Wang, Na Zhang, Fangyuan Yang, Shuo Yang, Bo Yang, Huan Wang
{"title":"Dynamic state estimation of distribution network under Markov DOS attack","authors":"Yihe Wang, Na Zhang, Fangyuan Yang, Shuo Yang, Bo Yang, Huan Wang","doi":"10.1049/ell2.70023","DOIUrl":null,"url":null,"abstract":"<p>Energy information is vulnerable to malicious denial of service (DoS) attacks due to the diversity and openness of the smart grid environment. In order to cope with the above challenges, this paper first proposes to adopt Markov hopping model to describe the random packet loss of measurement due to DoS attacks. Then, based on Holt two-parameter exponential smoothing and untraced Kalman filtering techniques, a one-step predictive value compensation method for measurement data loss is proposed, and an improved dynamic untraced particle filtering algorithm based on data fusion compensation strategy is designed. Finally, an IEEE-30 bus system is used to simulate the proposed dynamic state estimation method, which proves that the proposed method can effectively resist DoS attack.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 18","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70023","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ell2.70023","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Energy information is vulnerable to malicious denial of service (DoS) attacks due to the diversity and openness of the smart grid environment. In order to cope with the above challenges, this paper first proposes to adopt Markov hopping model to describe the random packet loss of measurement due to DoS attacks. Then, based on Holt two-parameter exponential smoothing and untraced Kalman filtering techniques, a one-step predictive value compensation method for measurement data loss is proposed, and an improved dynamic untraced particle filtering algorithm based on data fusion compensation strategy is designed. Finally, an IEEE-30 bus system is used to simulate the proposed dynamic state estimation method, which proves that the proposed method can effectively resist DoS attack.
由于智能电网环境的多样性和开放性，能源信息很容易受到恶意拒绝服务（DoS）攻击。为应对上述挑战，本文首先提出采用马尔可夫跳变模型来描述 DoS 攻击导致的随机丢包测量。然后，基于霍尔特双参数指数平滑和无踪迹卡尔曼滤波技术，提出了测量数据丢失的一步预测值补偿方法，并设计了基于数据融合补偿策略的改进型动态无踪迹粒子滤波算法。最后，利用 IEEE-30 总线系统对所提出的动态状态估计方法进行了仿真，证明所提出的方法能有效抵御 DoS 攻击。
期刊介绍：
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
