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What is Smishing Detection Model for Mobile Money about?
This paper presents an integrated model utilizing machine learning and natural language processing to detect SMS-phishing (smishing) attacks on mobile money platforms in Zambia. The model employs Random Forest and Naïve Bayes algorithms, leveraging techniques like Named Entity Recognition and part-of-speech tagging to enhance detection accuracy. Initial results indicate high effectiveness, emphasizing the importance of user education alongside technological solutions to improve mobile financial security.
- Author
- apoorvpatidar2431
- Language
- EN