Anomaly Classification in Industrial Internet of Things
ABSTRACT : This thesis presents an IIoT Anomaly Classification Framework designed to detect and categorize anomalies, including failures, attacks, and other significant events. The research addresses the critical need for robust anomaly detection and classification in IIoT systems by providing a com...
- Autores:
-
Rodríguez López, Martha Lucía
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2025
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/45192
- Acceso en línea:
- https://hdl.handle.net/10495/45192
- Palabra clave:
- Anomaly detection (Computer security)
Detección de anomalías (Seguridad informática)
Seguridad en computadores
Computer security
Confiabilidad (ingeniería)
Reliability (engineering)
Internet de las cosas
Internet of things
Industrial Internet of Things (IIoT)
http://aims.fao.org/aos/agrovoc/c_e4315b22
http://id.loc.gov/authorities/subjects/sh2005007675
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/
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Anomaly Classification in Industrial Internet of Things |
| title |
Anomaly Classification in Industrial Internet of Things |
| spellingShingle |
Anomaly Classification in Industrial Internet of Things Anomaly detection (Computer security) Detección de anomalías (Seguridad informática) Seguridad en computadores Computer security Confiabilidad (ingeniería) Reliability (engineering) Internet de las cosas Internet of things Industrial Internet of Things (IIoT) http://aims.fao.org/aos/agrovoc/c_e4315b22 http://id.loc.gov/authorities/subjects/sh2005007675 |
| title_short |
Anomaly Classification in Industrial Internet of Things |
| title_full |
Anomaly Classification in Industrial Internet of Things |
| title_fullStr |
Anomaly Classification in Industrial Internet of Things |
| title_full_unstemmed |
Anomaly Classification in Industrial Internet of Things |
| title_sort |
Anomaly Classification in Industrial Internet of Things |
| dc.creator.fl_str_mv |
Rodríguez López, Martha Lucía |
| dc.contributor.advisor.none.fl_str_mv |
Múnera Ramírez, Danny Alexandro Tobón Vallejo, Diana Patricia |
| dc.contributor.author.none.fl_str_mv |
Rodríguez López, Martha Lucía |
| dc.contributor.researchgroup.spa.fl_str_mv |
Intelligent Information Systems Lab. |
| dc.subject.lcsh.spa.fl_str_mv |
Anomaly detection (Computer security) Detección de anomalías (Seguridad informática) |
| topic |
Anomaly detection (Computer security) Detección de anomalías (Seguridad informática) Seguridad en computadores Computer security Confiabilidad (ingeniería) Reliability (engineering) Internet de las cosas Internet of things Industrial Internet of Things (IIoT) http://aims.fao.org/aos/agrovoc/c_e4315b22 http://id.loc.gov/authorities/subjects/sh2005007675 |
| dc.subject.lemb.none.fl_str_mv |
Seguridad en computadores Computer security Confiabilidad (ingeniería) Reliability (engineering) |
| dc.subject.agrovoc.none.fl_str_mv |
Internet de las cosas Internet of things |
| dc.subject.proposal.spa.fl_str_mv |
Industrial Internet of Things (IIoT) |
| dc.subject.agrovocuri.none.fl_str_mv |
http://aims.fao.org/aos/agrovoc/c_e4315b22 |
| dc.subject.lcshuri.spa.fl_str_mv |
http://id.loc.gov/authorities/subjects/sh2005007675 |
| description |
ABSTRACT : This thesis presents an IIoT Anomaly Classification Framework designed to detect and categorize anomalies, including failures, attacks, and other significant events. The research addresses the critical need for robust anomaly detection and classification in IIoT systems by providing a comprehensive and scalable solution adaptable to various industrial contexts. The framework enhances modern industrial operations’ reliability, security, and efficiency, paving the way for more resilient and intelligent IIoT systems. |
| publishDate |
2025 |
| dc.date.accessioned.none.fl_str_mv |
2025-02-24T21:24:50Z |
| dc.date.available.none.fl_str_mv |
2025-02-24T21:24:50Z |
| dc.date.issued.none.fl_str_mv |
2025 |
| dc.type.spa.fl_str_mv |
Tesis/Trabajo de grado - Monografía - Doctorado |
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http://purl.org/coar/resource_type/c_db06 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/doctoralThesis |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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draft |
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https://hdl.handle.net/10495/45192 |
| url |
https://hdl.handle.net/10495/45192 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
172 páginas |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
Universidad de Antioquia |
| dc.publisher.place.spa.fl_str_mv |
Medellín, Colombia |
| dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ingeniería. Doctorado en Ingeniería Electrónica y de Computación |
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Universidad de Antioquia |
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Múnera Ramírez, Danny AlexandroTobón Vallejo, Diana PatriciaRodríguez López, Martha LucíaIntelligent Information Systems Lab.2025-02-24T21:24:50Z2025-02-24T21:24:50Z2025https://hdl.handle.net/10495/45192ABSTRACT : This thesis presents an IIoT Anomaly Classification Framework designed to detect and categorize anomalies, including failures, attacks, and other significant events. The research addresses the critical need for robust anomaly detection and classification in IIoT systems by providing a comprehensive and scalable solution adaptable to various industrial contexts. The framework enhances modern industrial operations’ reliability, security, and efficiency, paving the way for more resilient and intelligent IIoT systems.COL0025934DoctoradoDoctor en Ingeniería Electrónica y de la Computación172 páginasapplication/pdfengUniversidad de AntioquiaMedellín, ColombiaFacultad de Ingeniería. Doctorado en Ingeniería Electrónica y de Computaciónhttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Anomaly detection (Computer security)Detección de anomalías (Seguridad informática)Seguridad en computadoresComputer securityConfiabilidad (ingeniería)Reliability (engineering)Internet de las cosasInternet of thingsIndustrial Internet of Things (IIoT)http://aims.fao.org/aos/agrovoc/c_e4315b22http://id.loc.gov/authorities/subjects/sh2005007675Anomaly Classification in Industrial Internet of ThingsTesis/Trabajo de grado - Monografía - Doctoradohttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/resource_type/c_db06https://purl.org/redcol/resource_type/TDhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/draftPublicationORIGINALRodriguezMartha_2025_AnomalyClassificationIIoTRodriguezMartha_2025_AnomalyClassificationIIoTTesis doctoralapplication/pdf5001163https://bibliotecadigital.udea.edu.co/bitstreams/b024108e-279f-4106-a1da-8b42daf0eaa5/download724bc7c96c87f11283c4a3965b8ee4fcMD51trueAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/f44c6063-c14d-4fe2-b4f8-ebadde297165/download8a4605be74aa9ea9d79846c1fba20a33MD52falseAnonymousREADTEXTRodriguezMartha_2025_AnomalyClassificationIIoT.txtRodriguezMartha_2025_AnomalyClassificationIIoT.txtExtracted texttext/plain100381https://bibliotecadigital.udea.edu.co/bitstreams/adfadc6f-638b-4141-9fbb-02dc9b67d194/download837ccfa9fedc8b828960e5683aac0d43MD53falseAnonymousREADTHUMBNAILRodriguezMartha_2025_AnomalyClassificationIIoT.jpgRodriguezMartha_2025_AnomalyClassificationIIoT.jpgGenerated Thumbnailimage/jpeg6894https://bibliotecadigital.udea.edu.co/bitstreams/a8fa330c-e4ad-44f7-86b8-09335544cd63/downloadfa4b04d36412df0c7e9306171c16c1b6MD54falseAnonymousREAD10495/45192oai:bibliotecadigital.udea.edu.co:10495/451922025-03-26 20:07:28.244https://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |