Smart Energy Management in Green Cloud Computing using Machine Learning Algorithms
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Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
American Scientific Publishing Group (ASPG)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Cloud computing has many advantages as well as some disadvantages. An internet connection is required to use Cloud Computing. In other words, it is not possible to access the data in cases without internet. Cloud Computing can provide infrastructure services, platform services and software services to individuals with any device connected to the internet. If the connection speed is low when there is internet, the data transmission is also slower. In this context, it may not be practical for individuals or institutions to benefit from Cloud Computing in places where internet connection is low, limited, or absent. A new technology was obtained in this study; this method depends on deep learning and machine learning techniques applied to detect the attacks in the cloud computing-based systems. The suggested method compared with many traditional machine learning techniques. © 2025, American Scientific Publishing Group (ASPG). All rights reserved.
Açıklama
Anahtar Kelimeler
AdaBoost, Cloud computing, CNN, Energy management, KNN, PCA, Security, SVM
Kaynak
Journal of Cybersecurity and Information Management
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
15
Sayı
2
