Machine Learning Techniques for Cyberattack Prevention in IoT Systems: A Comparative Perspective of Cybersecurity and Cyberdefense in Colombia

Machine Learning Techniques for Cyberattack Prevention in IoT Systems: A Comparative Perspective of Cybersecurity and Cyberdefense in Colombia

This study investigates the application of machine learning techniques for cyberattack prevention in Internet of Things (IoT) systems, focusing on the specific context of cyberattacks in Colombia. The research presents a comparative perspective on cyberattacks in Colombia, aiming to identify the mos...

Full description

Bibliographic Details
Main Authors: Emanuel Ortiz-Ruiz, Juan Ramón Bermejo, Juan Antonio Sicilia, Javier Bermejo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
machine learning techniques
cyberattack prevention
Internet of Things (IoT) systems
cyberattacks in Colombia
comparative perspective
IoT security and privacy
Online Access:https://www.mdpi.com/2079-9292/13/5/824

Internet

https://www.mdpi.com/2079-9292/13/5/824

Similar Items