PhishBlocker: An Adaptive Smishing Detection Model Using Machine Learning.
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
- Renu Vadhera
- Atul CHOUDHARY
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-25
- DOI
- https://doi.org/10.5281/zenodo.18260418
- Primary Topic
- Spam and Phishing Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00