Abstract: This paper introduces SMART, a robust framework for email spam detection designed to adapt to and mitigate adversarial spam emails. SMART integrates several advanced techniques, including ...
People worldwide are being targeted by a massive spam wave originating from unsecured Zendesk support systems, with victims ...
Abstract: The growing volume of unsolicited spam emails threatens user privacy, productivity, and digital security. This study proposes an enhanced spam detection model by integrating phrase pattern ...
Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...
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