About this document

Smishing Detection via SMS and URL Analysis by Prameswara Sesoca is a document available to read on EtoBox.

The document proposes a new smishing detection method that combines URL analysis using Google and VirusTotal with SMS content analysis using machine learning classifiers. The proposed method analyzes URLs and SMS text to extract features then classifies messages with SVM, RF, AdaBoost and XGBoost, achieving 98.5% accuracy. The method outperforms existing approaches and is effective for smishing detection.

Author

Prameswara Sesoca

Language

EN