Literature Review of Machine Learning and Threat Intelligence in Cloud Security
Cloud computing has transformed IT services by making them more scalable and cost-effective. However, this shift has also introduced new security challenges that traditional methods are finding hard to tackle. This review paper looks at how combining machine learning (ML) with threat intelligence ca...
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Format: | Article |
Language: | English |
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IEEE
2025-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/10839753/ |
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author | Rrezearta Thaqi Bujar Krasniqi Artan Mazrekaj Blerim Rexha |
author_facet | Rrezearta Thaqi Bujar Krasniqi Artan Mazrekaj Blerim Rexha |
author_sort | Rrezearta Thaqi |
collection | DOAJ |
description | Cloud computing has transformed IT services by making them more scalable and cost-effective. However, this shift has also introduced new security challenges that traditional methods are finding hard to tackle. This review paper looks at how combining machine learning (ML) with threat intelligence can improve cloud security — an approach that hasn’t been widely explored yet. By reviewing recent studies, we show that ML and threat intelligence does more than detect known threats. They can also adapt to new and evolving ones, making cloud systems more secure against cyberattacks. Our analysis highlights how this combined approach provides better protection and flexibility. We also identify some important gaps in the current research and suggest areas for future study to make these security systems even more effective. This review aims to provide useful insights for researchers, helping to build more proactive cloud security strategies. |
format | Article |
id | doaj-art-6b1af66bb6024baa850abfb7daa8c515 |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-6b1af66bb6024baa850abfb7daa8c5152025-01-24T00:01:55ZengIEEEIEEE Access2169-35362025-01-0113116631167810.1109/ACCESS.2025.352963610839753Literature Review of Machine Learning and Threat Intelligence in Cloud SecurityRrezearta Thaqi0https://orcid.org/0009-0007-7721-5228Bujar Krasniqi1Artan Mazrekaj2Blerim Rexha3https://orcid.org/0000-0002-3428-7666Faculty of Electrical and Computer Engineering, University of Prishtina, Pristina, KosovoFaculty of Electrical and Computer Engineering, University of Prishtina, Pristina, KosovoFaculty of Electrical and Computer Engineering, University of Prishtina, Pristina, KosovoFaculty of Electrical and Computer Engineering, University of Prishtina, Pristina, KosovoCloud computing has transformed IT services by making them more scalable and cost-effective. However, this shift has also introduced new security challenges that traditional methods are finding hard to tackle. This review paper looks at how combining machine learning (ML) with threat intelligence can improve cloud security — an approach that hasn’t been widely explored yet. By reviewing recent studies, we show that ML and threat intelligence does more than detect known threats. They can also adapt to new and evolving ones, making cloud systems more secure against cyberattacks. Our analysis highlights how this combined approach provides better protection and flexibility. We also identify some important gaps in the current research and suggest areas for future study to make these security systems even more effective. This review aims to provide useful insights for researchers, helping to build more proactive cloud security strategies.https://ieeexplore.ieee.org/document/10839753/Cloud computingsecuritythreat intelligencemachine learning |
spellingShingle | Rrezearta Thaqi Bujar Krasniqi Artan Mazrekaj Blerim Rexha Literature Review of Machine Learning and Threat Intelligence in Cloud Security IEEE Access Cloud computing security threat intelligence machine learning |
title | Literature Review of Machine Learning and Threat Intelligence in Cloud Security |
title_full | Literature Review of Machine Learning and Threat Intelligence in Cloud Security |
title_fullStr | Literature Review of Machine Learning and Threat Intelligence in Cloud Security |
title_full_unstemmed | Literature Review of Machine Learning and Threat Intelligence in Cloud Security |
title_short | Literature Review of Machine Learning and Threat Intelligence in Cloud Security |
title_sort | literature review of machine learning and threat intelligence in cloud security |
topic | Cloud computing security threat intelligence machine learning |
url | https://ieeexplore.ieee.org/document/10839753/ |
work_keys_str_mv | AT rrezeartathaqi literaturereviewofmachinelearningandthreatintelligenceincloudsecurity AT bujarkrasniqi literaturereviewofmachinelearningandthreatintelligenceincloudsecurity AT artanmazrekaj literaturereviewofmachinelearningandthreatintelligenceincloudsecurity AT blerimrexha literaturereviewofmachinelearningandthreatintelligenceincloudsecurity |