中文版 | English
Title

Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams

Author
Corresponding AuthorZhang, Fangfang
Publication Years
2023
DOI
Source Title
ISSN
1758-0366
EISSN
1758-0374
Volume22Issue:1
Abstract
Offshore wind power is an important part of the new power system. Due to the complex and changing situation in the oceans, its normal operation and maintenance cannot be done without information such as images; therefore, it is especially important to transmit the correct image in the process of information transmission. In this paper, we propose a new encryption algorithm for offshore wind power based on two-dimensional lagged complex logistic mapping (2D-LCLM) and Zhou Yi eight trigrams. Firstly, the initial value of the 2D-LCLM is constructed by the Sha-256 to associate the 2D-LCLM with the plaintext. Secondly, a new encryption rule is proposed from the Zhou Yi Eight Trigrams to obfuscate the pixel values and generate the round key. Then, 2D-LCLM is combined with the Zigzag to form an S-box. Finally, the simulation experiment of the algorithm is accomplished. The experimental results demonstrate that the algorithm is resistant to common attacks and has prefect encryption performance.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
Shandong Provincial Natural Science Foundation[ZR2023QF036] ; Basic Research Projects of Science, Education and Industry Integration Pilot Project of Qilu University of Technology (Shandong Academy of Sciences)[ZR2023MF089] ; Talent Research Project of Qilu University of Technology (Shandong Academy of Sciences)[2023PX081] ; Youth Innovation Technology Support Plan Project of Colleges in Shandong Province[2023RCKY054] ; Industry-university-research collaborative innovation fund project of Qilu University of Technology (Shandong Academy of Sciences)["2021CXY-14","2021CXY-13"] ; Major scientific and technological innovation projects of Shandong Province["2019JZZY010731","2020CXGC010901"] ; null[2021KJ025]
WOS Research Area
Computer Science
WOS Subject
Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS Accession No
WOS:001069876900005
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:7
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/571879
DepartmentDepartment of Mechanical and Energy Engineering
Affiliation
1.Qilu Univ Technol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao, Peoples R China
2.Qilu Univ Technol, Shandong Acad Sci, Sch Informat & Automat Engn, Jinan, Peoples R China
3.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
4.Qilu Univ Technol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao, Peoples R China
5.Northeast Elect Power Univ, Sch Elect Engn, Jilin, Peoples R China
6.Changchun Inst Technol, Sch Comp Technol & Engn, Changchun, Peoples R China
Recommended Citation
GB/T 7714
Kou, Lei,Wu, Jinbo,Zhang, Fangfang,et al. Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams[J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,2023,22(1).
APA
Kou, Lei.,Wu, Jinbo.,Zhang, Fangfang.,Ji, Peng.,Ke, Wende.,...&Yuan, Quande.(2023).Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams.INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,22(1).
MLA
Kou, Lei,et al."Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams".INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 22.1(2023).
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