Machine learning in cybersecurity: A review of threat detection and defense mechanisms
UIUgochukwu Ikechukwu OkoliOCOgugua Chimezie ObiAOAdebunmi Okechukwu AdewusiTOTemitayo Oluwaseun Abrahams
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Abstract
The cybersecurity concerns get increasingly intricate as the digital world progresses. In light of the increasing complexity of cyber threats, it is imperative to develop and implement advanced and flexible security strategies. Machine Learning (ML) has become a potent tool in strengthening cybersecurity, providing the capacity to scrutinise extensive information, recognise trends, and improve threat detection and defence methods. This paper examines the significance of ML in the field of cybersecurity, with a special emphasis on the identification of threats and the implementation of protective measures. By incorporating ML algorithms into cybersecurity frameworks, organisations may automate decision-making…
Citation impact
107
total citations
- FWCI
- 34.23
- Percentile
- 100%
- References
- 54
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Computer security
- Computer science
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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