Smart Energy Management in Green Cloud Computing using Machine Learning Algorithms
| dc.contributor.author | Salman, Assel Hashim | |
| dc.contributor.author | Ibrahim, Abdullahi Abdu | |
| dc.date.accessioned | 2025-02-06T18:01:16Z | |
| dc.date.available | 2025-02-06T18:01:16Z | |
| dc.date.issued | 2025 | |
| dc.department | Altınbaş Üniversitesi | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.doi | 10.54216/JCIM.150203 | |
| dc.identifier.endpage | 34 | en_US |
| dc.identifier.issn | 2769-7851 | |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.scopus | 2-s2.0-85215671757 | |
| dc.identifier.scopusquality | Q4 | en_US |
| dc.identifier.startpage | 27 | en_US |
| dc.identifier.uri | https://doi.org/10.54216/JCIM.150203 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12939/5276 | |
| dc.identifier.volume | 15 | en_US |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | en_US |
| dc.publisher | American Scientific Publishing Group (ASPG) | en_US |
| dc.relation.ispartof | Journal of Cybersecurity and Information Management | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.snmz | KA_Scopus_20250206 | |
| dc.subject | AdaBoost | en_US |
| dc.subject | Cloud computing | en_US |
| dc.subject | CNN | en_US |
| dc.subject | Energy management | en_US |
| dc.subject | KNN | en_US |
| dc.subject | PCA | en_US |
| dc.subject | Security | en_US |
| dc.subject | SVM | en_US |
| dc.title | Smart Energy Management in Green Cloud Computing using Machine Learning Algorithms | en_US |
| dc.type | Article | en_US |
