PhishBlocker: An Adaptive Smishing Detection Model Using Machine Learning.
Year: 2025
Type: dissertation
Abstract: 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.
Authors: CHOUDHARY, Atul, Vadhera, Ms. Renu
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7117238762
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