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SmishShield: A Machine Learning-Based Smishing Detection System · Peerford

conference paper · Publication · 2023

SmishShield: A Machine Learning-Based Smishing Detection System

Gabriel Selorm Awumee, Justice Owusu Agyemang, Sarafina Serwaa Boakye, Daniel K. Bempong

Lecture notes on data engineering and communications technologies

Closed access

Go to the publisher 10.1007/978-3-031-47126-1_14

Citations: 2from other works
Field-weighted impact: 0.621.00 is the world average for its field and year
Among its field: 70th percentileby citations, against works of its field and year
Authors: 4from 1 institution

Authors

4 authors

Gabriel Selorm AwumeeFirst author
- Kwame Nkrumah University of Science and Technology (GH)
Justice Owusu AgyemangCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Sarafina Serwaa Boakye
- Kwame Nkrumah University of Science and Technology (GH)
Daniel K. BempongSenior author
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Daniel Bempong

Development goals

15

Life on land

Country

Ghana

Fields

A work can sit in several, each with a score

Spam and Phishing DetectionTopic
Misinformation and Its ImpactsTopic
Advanced Malware Detection TechniquesTopic