Volume 15 , Issue 2 , PP: 27-34, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Assel Hashim Salman 1 , Abdullahi Abdu Ibrahim 2 *
Doi: https://doi.org/10.54216/JCIM.150203
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.
Cloud computing , CNN , Energy management , Security , SVM , PCA , KNN , AdaBoost
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