Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)-Reference-Cited by-同舟云学术

Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)

Published:2023 Issue: Volume:11 Page:70542-70559
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fernando Gutierrez-Portela¹^ORCID,Brayan Arteaga-Arteaga Harold²^ORCID,Florina Almenares Mendoza³^ORCID,Liliana Calderón-Benavides⁴^ORCID,Héctor-Gabriel Acosta-Mesa⁵^ORCID,Reinel Tabares-Soto²^ORCID

Affiliation:

1. Grupo de Investigación Aqua, Universidad Cooperativa de Colombia, Ibagué, Tolima, Colombia

2. Departamento de Electrónica y Automatización, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia

3. Departamento de Ingeniería Telemática, Universidad Carlos III de Madrid (UC3M), Madrid, España

4. Unidad Académica Tecnologías de la Información, Universidad Autónoma de Bucaramanga (UNAB), Bucaramanga, Santander, Colombia

5. Instituto de Investigaciones en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, Mexico

Funder

Universidad Cooperativa de Colombia

Ministry of Economy and Competitiveness, Spain, through the Research Project COMPROMISE

Universidad Autónoma de Manizales contributed to this work through the Application of Convolutional Neural Networks for Steganalysis Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10172186.pdf?arnumber=10172186

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