A framework for anomaly classification in Industrial Internet of Things systems
ABSTRACT: Introducing the Industrial Internet of Things (IIoT) into traditional industrial processes has marked a new era of enhanced connectivity and productivity. By integrating advanced sensors, communication technologies, and data analysis, IIoT enables real-time monitoring, proactive maintenanc...
- Autores:
-
Rodríguez López, Martha Lucía
Tobón Vallejo, Diana Patricia
Múnera Ramírez, Danny Alexandro
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/44146
- Acceso en línea:
- https://hdl.handle.net/10495/44146
- Palabra clave:
- Detección de anomalías (Seguridad informática)
Anomaly detection (Computer security)
Context-aware computing
Internet de las Cosas
Internet of Things
Clasificación
Classification
Tecnología de las comunicaciones
Communication technology
http://id.loc.gov/authorities/subjects/sh2005007675
http://id.loc.gov/authorities/subjects/sh2008007436
https://id.nlm.nih.gov/mesh/D000080487
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/