A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling

A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling

In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly. These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware. Malwares, if not detected, can harm different components of the IoT: smart obj...

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Bibliographic Details
Main Authors: Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, Radwan M. Batyha, Didi Rosiyadi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ain Shams Engineering Journal
Subjects:
Internet of Things
Malware
Machine learning
Dimensionality reduction
Random forest
Logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447924005860
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