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...
- 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