Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security

Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security

<p>Cloud computing (CC) delivers processing power and data storage on demand. It is one of the most significant computer science technologies, contributing to healthcare, industry, and the Internet of Things. One of CC's biggest security concerns are intrusion detection and separating har...

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Bibliographic Details
Main Author: Nikola Savanovic (14146602) (author)
Other Authors: Aleksandra Bozovic (14723359) (author), Milos Antonijevic (14077464) (author), Goran Kvascev (14146599) (author), Bosko Nikolic (22271718) (author), K. Venkatachalam (13782049) (author), Nebojsa Bacanin (13932723) (author), Miodrag Zivkovic (13782040) (author)
Published: 2025
Subjects:
Computational Biology
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
Cloud computing
intrusion detection
metaheuristics optimisation
sine cosine algorithm
extreme gradient boosting
convolutional neural network
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