Cyber Fraud App Detection Using Machine Learning | Cybersecurity Project 2024
Cyber Fraud App Detection Using Machine Learning | Cybersecurity Project 2024
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ABSTRACT
Cyber fraud detection and prevention using machine learning (ML) is an advanced approach to safeguarding digital transactions and data integrity.
Machine learning algorithms, including supervised and unsupervised learning techniques, are leveraged to analyze vast amounts of data, identify patterns, and detect anomalies indicative of fraudulent activities.
By continuously learning from new data, ML models can adapt to evolving cyber threats and provide real-time fraud detection, reducing false positives and enhancing accuracy.
This approach not only improves the efficiency and effectiveness of fraud detection systems but also helps in predicting potential frauds, thereby enabling proactive measures to prevent cyber attacks.
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