Advanced Threat Detection Using Machine Learning Algorithms
Machine Learning Will Change the World
Abstract
In today's digital landscape, cybersecurity threats are increasingly sophisticated, necessitating advanced methods for threat detection. This study explores the application of machine learning algorithms to enhance the detection and mitigation of cyber threats. By leveraging anomaly detection and predictive analytics, the proposed approach improves the accuracy and efficiency of identifying potential security breaches. Our findings demonstrate that machine learning can significantly bolster cybersecurity defenses, providing a robust framework for proactive threat management.
Keyword
References
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How to Cite
Advanced Threat Detection Using Machine Learning Algorithms: Machine Learning Will Change the World. (2024). Journal of Technology, 2(1), 5-9. https://doi.org/10.1481/jtech.v2i1.6
License
Copyright (c) 2024 Journal of Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Advanced Threat Detection Using Machine Learning Algorithms: Machine Learning Will Change the World. (2024). Journal of Technology, 2(1), 5-9. https://doi.org/10.1481/jtech.v2i1.6