Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection

Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection

The exponential growth of the Internet of Things (IoT) has boosted connectivity across various sectors, such as Industry 4.0 and smart cities. However, this expansion has also exposed IoT devices to critical vulnerabilities, including spoofing, DoS attacks, and unauthorized access. Traditional secur...

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Bibliographic Details
Main Authors: William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
blockchain
IoT security
hybrid systems
anomaly detection
energy efficiency
Online Access:https://ieeexplore.ieee.org/document/10849557/
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https://ieeexplore.ieee.org/document/10849557/

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