Abstract: Ransomware attacks continue to threaten global cybersecurity, crippling systems through data encryption and extortion. Traditional detection methods struggle with evolving threats like ...
Abstract: This paper is designed to develop an automated fraud detection system for e-commerce by leveraging user behavior analysis and hybrid anomaly detection models. As e-commerce grows rapidly, ...
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