An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems

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...

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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:
Supervisory control and data acquisition (SCADA)
Markov chain clustering (MCC)
preprocessing
security
rapid probabilistic correlated optimization (RPCO)
block correlated neural network (BCNN) and attack detection
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/df3cb54ac59f422588a496a0859fb7b3
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https://doaj.org/article/df3cb54ac59f422588a496a0859fb7b3

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