Cyber-Attack Detection and Cyber-Security Enhancement in Smart DC-Microgrid Based on Blockchain Technology and Hilbert Huang Transform

被引:61
作者
Ghiasi, Mohammad [1 ]
Dehghani, Moslem [1 ]
Niknam, Taher [1 ]
Kavousi-Fard, Abdollah [1 ]
Siano, Pierluigi [2 ]
Alhelou, Hassan Haes [3 ,4 ]
机构
[1] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz 71555313, Iran
[2] Univ Salerno, Dept Management & Innovat Syst, I-84084 Salerno, Italy
[3] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin 04, Ireland
[4] Tishreen Univ, Dept Elect Power Engn, Latakia 2230, Syria
基金
爱尔兰科学基金会;
关键词
Blockchain; Security; Transforms; Power system stability; Intelligent sensors; Distributed databases; Bitcoin; Smart DC-microgrid; Hilbert-Huang Transform; false data injection attack; data exchanging; blockchain; DATA INJECTION ATTACKS; CONSENSUS; SYSTEM; GRIDS;
D O I
10.1109/ACCESS.2021.3059042
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the simultaneous development of DC-microgrids (DC-MGs) and the use of intelligent control, monitoring and operation methods, as well as their structure, these networks can be threatened by various cyber-attacks. Overall, a typical smart DC-MG includes battery, supercapacitors and power electronic devices, fuel cell, solar Photovoltaic (PV) systems, and loads such as smart homes, plug-in hybrid electrical vehicle (PHEV), smart sensors and network communication like fiber cable or wireless to send and receive data. Given these issues, cyber-attack detection and securing data exchanged in smart DC-MGs like CPS has been considered by experts as a significant subject in recent years. In this study, in order to detect false data injection attacks (FDIAs) in a MG system, Hilbert-Huang transform methodology along with blockchain-based ledger technology is used for enhancing the security in the smart DC-MGs with analyzing the voltage and current signals in smart sensors and controllers by extracting the signal details. Results of simulation on the different cases are considered with the objective of verifying the efficacy of the proposed model. The results offer that the suggested model can provide a more precise and robust detection mechanism against FDIA and improve the security of data exchanging in a smart DC-MG.
引用
收藏
页码:29429 / 29440
页数:12
相关论文
共 39 条
[11]   Deep learning based method for false data injection attack detection in AC smart islands [J].
Dehghani, Moslem ;
Kavousi-Fard, Abdollah ;
Dabbaghjamanesh, Morteza ;
Avatefipour, Omid .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (24) :5756-5765
[12]   False Data Injection Attack Detection based on Hilbert-Huang Transform in AC Smart Islands [J].
Dehghani, Moslem ;
Ghiasi, Mohammad ;
Niknam, Taher ;
Kavousi-Fard, Abdollah ;
Padmanaban, Sanjeevikumar .
IEEE ACCESS, 2020, 8 (08) :179002-179017
[13]  
Duan P., 2020, IEEE T IND APPL, DOI [10.1109/TIA.2020.3010899, DOI 10.1109/TIA.2020.3010899]
[14]   An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting [J].
El-Hendawi, Mohamed ;
Wang, Zhanle .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 182
[15]   Optimal DG Placement to Find Optimal Voltage Profile Considering Minimum DG Investment Cost in Smart Neighborhood [J].
Fathi, Mohammadreza ;
Ghiasi, Mohammad .
SMART CITIES, 2019, 2 (02) :328-344
[16]   Blockchain based uniform price double auctions for energy markets [J].
Foti, Magda ;
Vavalis, Manolis .
APPLIED ENERGY, 2019, 254
[17]   Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid [J].
Gai, Keke ;
Wu, Yulu ;
Zhu, Liehuang ;
Qiu, Meikang ;
Shen, Meng .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (06) :3548-3558
[18]  
Ghiasi M., 2020, IEEE Smart Grid Newsl, V1, P1
[19]   Detailed study, multi-objective optimization, and design of an AC-DC smart microgrid with hybrid renewable energy resources [J].
Ghiasi, Mohammad .
ENERGY, 2019, 169 :496-507
[20]   A COMPARATIVE STUDY ON COMMON POWER FLOW TECHNIQUES IN THE POWER DISTRIBUTION SYSTEM OF THE TEHRAN METRO [J].
Ghiasi, Mohammad .
TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2018, 12 (04) :244-250