Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges
Intrusion detection; Machine learning; Quality of service; Complex problems; Computational model; Future challenges; Improve performance; Ml algorithms; Performance issues; Resource management; Rule based algorithms; Complex networks
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-265592023-05-29T17:11:57Z Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges Ridwan M.A. Radzi N.A.M. Abdullah F. Jalil Y.E. 57193648099 57218936786 56613644500 55257996600 Intrusion detection; Machine learning; Quality of service; Complex problems; Computational model; Future challenges; Improve performance; Ml algorithms; Performance issues; Resource management; Rule based algorithms; Complex networks Communication networks are expanding rapidly and becoming increasingly complex. As a consequence, the conventional rule-based algorithms or protocols may no longer perform at their best efficiencies in these networks. Machine learning (ML) has recently been applied to solve complex problems in many fields, including finance, health care, and business. ML algorithms can offer computational models that can solve complex communication network problems and consequently improve performance. This paper reviews the recent trends in the application of ML models in communication networks for prediction, intrusion detection, route and path assignment, Quality of Service improvement, and resource management. A review of the recent literature reveals extensive opportunities for researchers to exploit the advantages of ML in solving complex performance issues in a network, especially with the advancement of software-defined networks and 5G. � 2013 IEEE. Final 2023-05-29T09:11:57Z 2023-05-29T09:11:57Z 2021 Article 10.1109/ACCESS.2021.3069210 2-s2.0-85103772902 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103772902&doi=10.1109%2fACCESS.2021.3069210&partnerID=40&md5=6cbfdc0edb975cc53d7c41a5a26fdc5a https://irepository.uniten.edu.my/handle/123456789/26559 9 9388670 52523 52556 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Intrusion detection; Machine learning; Quality of service; Complex problems; Computational model; Future challenges; Improve performance; Ml algorithms; Performance issues; Resource management; Rule based algorithms; Complex networks |
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57193648099 |
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57193648099 Ridwan M.A. Radzi N.A.M. Abdullah F. Jalil Y.E. |
| format |
Article |
| author |
Ridwan M.A. Radzi N.A.M. Abdullah F. Jalil Y.E. |
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Ridwan M.A. Radzi N.A.M. Abdullah F. Jalil Y.E. Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| author_sort |
Ridwan M.A. |
| title |
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| title_short |
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| title_full |
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| title_fullStr |
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| title_full_unstemmed |
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges |
| title_sort |
applications of machine learning in networking: a survey of current issues and future challenges |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806426382252638208 |