Detection and isolation of dos and integrity cyber attacks in cyber-physical systems with a neural network-based architecture

New applications of industrial automation request great flexibility in the systems, supported by the increase in the interconnection between its components, allowing access to all the information of the system and its reconfiguration based on the changes that occur during its operations, with the pu...

Full description

Autores:
Paredes Valencia, Carlos Mario
Martínez Castro, Diego
Ibarra-Junquera, Vrani
González Potes, Apolinar
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/13869
Acceso en línea:
https://hdl.handle.net/10614/13869
https://red.uao.edu.co/
Palabra clave:
Detección de anomalías (Seguridad informática)
Redes neuronales (Computadores)
Anomaly detection (Computer security)
Neural networks (Computer science)
Anomaly detection
Anomaly isolation
Artificial neural networks
Cyber Physical System
Rights
openAccess
License
Derechos reservados - MDPI, 2021