Cover Image

Diseño de un modelo de detección temprana de amenazas cibernéticas en PYMES colombianas mediante técnicas de inteligencia artificial

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Reina, Edgar Andres
Format:	Recurso digital
Language:	Spanish
Published:	Zenodo 2026
Subjects:	ciberseguridad, PYMES, inteligencia artificial, detección de intrusos, Random Forest, Isolation Forest
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Técnicas de aprendizaje automático para la detección de intrusos en redes de computadoras
by: Jorge Luis Rivero Pérez
Published: (2014)

Predicción de ciberataques en sistemas industriales SCADA a través de la implementación del filtro Kalman
by: Stephen Quiroz Tascón
Published: (2020)

Detección automática de pólipos colorrectales con técnicas de inteligencia artificial
by: Martín Alonso Gómez-Zuleta
Published: (2021)

IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM
by: Shokhrukh Sariyev
Published: (2025)

Customer Churn Prediction in the Software by Subscription models IT business using machine learning methods
by: Kolesnikova, Kateryna
Published: (2021)

Modelling effective soil depth at field scale from soil sensors and geomorphometric indices
by: Mauricio Castro Franco
Published: (2017)

Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests
by: Aria, Massimo, et al.
Published: (2022)

Estimación de volumen forestal mediante imágenes de satélite Landsat 8 OLI en bosques templados mixtos
by: Pedro García-Ramírez
Published: (2020)

Aplicación de una red neuronal feed-forward backpropagation para el diagnóstico de fallas mecánicas en motores de encendido provocado
by: Wilmer Contreras Urgilés
Published: (2019)

Detección de pistas aéreas ilegales en imágenes digitales empleando técnicas de inteligencia artificial
by: Carlos Patricio Erazo Yánez
Published: (2023)

Application of Different Machine Learning Techniques for Predicting Heart Dieses
by: Tejaswini Zope, et al.
Published: (2021)

Application of bayesian additive regression trees in the development of credit scoring models in Brazil
by: Daniel Alves de Brito
Published: (2018)

PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON
by: João Arthur Pompeu Pavanelli
Published: (2018)

Redes neuronales convolucionales para detección de retinopatía diabética
by: Darwin Patiño-Pérez
Published: (2025)

Aplicación de algoritmos Random Forest y XGBoost en una base de solicitudes de tarjetas de crédito
by: Javier Jesús Espinosa-Zúñiga
Published: (2020)

Predicting the Success of Marketing Campaigns in the Banking Sector
by: Harshith P
Published: (2025)

A Machine Learning Framework for Personalized Job Recommendation
by: Rumana Hasinullah Shaikh, et al.
Published: (2026)

Enhancing Marble Waste Recycling Through Machine Learning: The Role of Particle Size Variation and Class Imbalance Mitigation
by: Shambhavi Sinha
Published: (2026)

Retos para la regulación jurídica de la Inteligencia Artificial en el ámbito de la Ciberseguridad
by: Anahiby Anyel Becerril Gil
Published: (2021)

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence
by: Ebrahimie, Esmaeil, et al.
Published: (2018)

Insights into breast cancer: A simple machine learning method for early disease detection
by: Sowah, Anthony, et al.
Published: (2025)

Integrating machine learning and prioritization to decipher the partitioning and risk of tire-derived chemicals in highly populated coastal regions.
by: Wu, Nian-Nian, et al.
Published: (2026)

Estimación de biomasa aérea de Eucalyptus grandis y Pinus spp usando imágenes Sentinel1A y Sentinel2A en Colombia
by: Adriana Lizeth Tovar Blanco
Published: (2020)

Probability maps of exceeding six soil thickness in mainland France
by: Songchao Chen, et al.
Published: (2019)

Mapping tree genera using discrete LiDAR and geometric tree metrics
by: Connie Ko
Published: (2012)

FLORISTIC COMPOSITION AND PHYTOGEOGRAPHY CONTEXTUALIZATION OF THE NATURAL REGENERATION OF AN ALLUVIAL FOREST LOCATED IN THE "PLANALTO SUL CATARINENSE" REGION, SC, BRAZIL
by: Jéssica Oneda da Silva
Published: (2017)

Clasificación de fallas con redes neuronales para grupos electrógenos
by: Luis Benigno – Corrales Barrios
Published: (2013)

Cocoa Map for Cote d'Ivoire and Ghana
by: Abu, Itohan-Osa, et al.
Published: (2020)

Loan Default Prediction: A Complete Revision of LendingClub
by: José Antonio Núñez Mora
Published: (2023)

APPLYING CLASSICAL FOREST REGULATION METHODS TO SMALLHOLDINGS WITH COOPERATIVE CONSTRAINTS
by: Rafael Rode
Published: (2016)

Student Performance Prediction Using Machine Learning
by: Hrutuja Umakant Aher
Published: (2026)

Cyber Hacking Breaches Prediction Using Machine Learning
by: Narayan, Dr. Prabakaran, et al.
Published: (2026)

Python code for modeling suitable habitats of tea (Camellia sinensis) under future climate scenarios in China
by: zhang
Published: (2025)

Age Dominates Machine Learning Survival Prediction in Haematological Malignancies: A Multi-Disease Analysis of 192,825 Patients Demonstrates Cox Regression Sufficiency
by: Farquhar, Hayden
Published: (2026)

Willingness to Pay for Improved Solid Waste Management in Coastal Communities: Policy Evidence from a Hybrid Contingent Valuation, Econometric, and Machine Learning Framework
by: ONSAY, EMMANUEL, et al.
Published: (2026)

IgniWise Dataset — Prescribed Burn Window Prediction for Spain (1983–2015)
by: Romera Martínez, Sergio
Published: (2026)

Libro de resúmenes del I Congreso Forestal Paraguayo
by: Benítez León, Enrique, et al.
Published: (2026)

WORK PRECARIOUSNESS: ERGONOMIC RISKS TO OPERATORS OF MACHINES ADAPTED FOR FOREST HARVESTING
by: Stanley Schettino
Published: (2017)

AI-Based Radio Frequency Interference Signals Detection and Classification
by: Mrs. I. Kamalamma, et al.
Published: (2026)

Machine Learning-Based Employee Performance Rating System
by: Siddharth Sharma, et al.
Published: (2026)