Acceso abierto

Network monitoring and processing accuracy of big data acquisition based on mathematical model of fractional differential equation

Ming Si

Ming Si

Xinxiang Vocational and Technical College, Teachers CollegeXinxiang, China
Buscar este autor en
Sciendo|Google Scholar
Si, Ming
, 
Xiaoteng Liu

Xiaoteng Liu

Xinxiang Vocational and Technical College, Teachers CollegeXinxiang, China
Buscar este autor en
Sciendo|Google Scholar
Liu, Xiaoteng
, 
Adel A. Bahaddad

Adel A. Bahaddad

Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
Buscar este autor en
Sciendo|Google Scholar
Bahaddad, Adel A.
 y 
Moaiad Ahmad Khder

Moaiad Ahmad Khder

Applied Science UniversityAl Eker, Kingdom of Bahrain
Buscar este autor en
Sciendo|Google Scholar
Khder, Moaiad Ahmad
  
27 dic 2021
Network monitoring and processing accuracy of big data acquisition based on mathematical model of fractional differential equation's Cover Image
Acerca de este artículo
Artículo anterior
Artículo siguiente
Cite
Descargar portada
Publicado en línea: 27 dic 2021
Páginas: 327 - 340
Recibido: 17 jun 2021
Aceptado: 24 sept 2021
DOI: https://doi.org/10.2478/amns.2021.2.00118
Palabras clave
© 2021 Ming Si et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Network security situation awareness model
Network security situation awareness model

Fig. 2

SEIR-KS computer virus propagation model. KS, killer signal
SEIR-KS computer virus propagation model. KS, killer signal

Fig. 3

Network scenario
Network scenario

Fig. 4

Convergence comparison of each optimisation algorithm
Convergence comparison of each optimisation algorithm

Fig. 5

Fitness curve of GSA-FNN before and after improvement
Fitness curve of GSA-FNN before and after improvement

Fig. 6

Host security posture
Host security posture

Fig. 7

Network system security situation
Network system security situation

Fig. 8

Comparison of situation values predicted by different algorithms
Comparison of situation values predicted by different algorithms

Fig. 9

Error comparison of different prediction models
Error comparison of different prediction models

Comparison of consistency analysis

algorithm LAHP AHP
α max 4.92 5.07
CI 0.001 0.004
CR 0.0019 0.0024
Idioma:
Inglés
Calendario de la edición:
1 veces al año
Temas de la revista:
Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
RSS Feed de revista