Adaptive machine learning detects smishing attacks in mobile users, ensuring high accuracy and security.
Smishing (SMS Phishing) is a rapidly growing cybersecurity threat where attackers use deceptive text messages to trick users into revealing sensitive information. This research presents PhishBlocker, an adaptive machine learning-based system designed to effectively detect and prevent these attacks. The model focuses on real-time adaptation to new phishing patterns, ensuring high accuracy and security for mobile users.
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CHOUDHARY et al. (2025) studied this question.
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