An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems
Providing security to the Supervisory Control and Data Acquisition (SCADA) systems is one of the demanding and crucial tasks in recent days, due to the different types of attacks on the network. For this purpose, there are different types of attack detection and classification methodologies have bee...
Guardado en:
Autores principales: | S. Shitharth, Kantipudi Mvv Prasad, K. Sangeetha, Pravin R. Kshirsagar, Thanikanti Sudhakar Babu, Hassan Haes Alhelou |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/df3cb54ac59f422588a496a0859fb7b3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory Using Decision Tree Algorithm
por: Love Allen Chijioke Ahakonye, et al.
Publicado: (2021) -
SCADA Data-Based Working Condition Classification for Condition Assessment of Wind Turbine Main Transmission System
por: Huanguo Chen, et al.
Publicado: (2021) -
Indirect selection of maize genotypes based on associations between root agronomic and anatomical characters
por: Nascimento-Júnior,Ivanildo, et al.
Publicado: (2018) -
CORRELATION ANALYSIS QUANTITATIVE VARIABLES IN MEDICAL-BIOLOGICAL RESEARCHES
por: V. P. Iljin
Publicado: (2013) -
Correlation Studies in Carnation (Dianthus caryophyllus L.)
por: Tarannum ., et al.
Publicado: (2014)