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This research aims to explore the applications and effectiveness of machine learning techniques in improving cybersecurity.

Machine Learning in Cybersecurity: Techniques and Challenges

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This research aims to explore the applications and effectiveness of machine learning techniques in improving cybersecurity.
Collected a large dataset of phishing and legitimate instances.
Extracted relevant features such as email headers, content, and URLs.
Trained machine learning models using supervised learning algorithms.
Machine learning models accurately identified phishing emails and websites with high accuracy.
Achieved a low false positive rate in detection.
Recommendations include continuous dataset updates and employing ensemble methods for enhanced performance.

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Randomized trial demonstrates improved phishing detection in cybersecurity, highlighting the need for advanced data models.

Jasmin Praful Bharadiya (2023) studied this question.

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