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Bifurcation of a Fractional-Order Delayed Malware Propagation Model in Social Networks

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成果类型:
期刊论文
作者:
Xu, Changjin*;Liao, Maoxin;Li, Peiluan
通讯作者:
Xu, Changjin
作者机构:
[Xu, Changjin] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Guizhou, Peoples R China.
[Liao, Maoxin] Univ South China, Sch Math & Phys, Hengyang 421001, Peoples R China.
[Li, Peiluan] Henan Univ Sci & Technol, Sch Math & Stat, Luoyang 471023, Peoples R China.
通讯机构:
[Xu, Changjin] G
Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Guizhou, Peoples R China.
语种:
英文
关键词:
Bifurcation;Fractional-Order Delayed;Malware Propagation
期刊:
Discrete Dynamics in Nature and Society
ISSN:
1026-0226
年:
2019
卷:
2019
期:
Pt.1
页码:
7057052-1-7057052-10
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61673008]; Project of High-level Innovative Talents of Guizhou Province [[2016]5651]; Major Research Project of The Innovation Group of The Education Department of Guizhou Province [(2017]039]; Project of Key Laboratory of Guizhou Province with Financial and Physical Features [[2017]004]; Foundation of Science and Technology of Guizhou Province [[2018]1025, [2018]1020]
机构署名:
本校为其他机构
院系归属:
数理学院
摘要:
In recent years, with the rapid development of the Internet and the Internet of Things, network security is urgently needed. Malware becomes a major threat to network security. Thus, the study on malware propagation model plays an important role in network security. In the past few decades, numerous researchers put up various kinds of malware propagation models to analyze the dynamic interaction. However, many works are only concerned with the integer-order malware propagation models, while the investigation on fractional-order ones is very few...

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