A Novel Approach to Detect Spam and Smishing SMS using Machine Learning Techniques
Author:
Affiliation:
1. National Institute of Technology, Kurukshetra, India
2. Income Tax Department, Government of India, India
Abstract
Publisher
IGI Global
Subject
Marketing,Strategy and Management,Computer Networks and Communications,Computer Science Applications,Management Information Systems
Reference25 articles.
1. Ali, S. S., & Maqsood, J. (2018). Net library for SMS spam detection using machine learning: A cross platform solution. In Proceedings of the 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 470-476). IEEE.
2. Contributions to the study of SMS spam filtering
3. MP-Shield: A Framework for Phishing Detection in Mobile Devices
4. Spam filtering for short messages in adversarial environment
5. Comparative Analysis of Mobile Phishing Detection and Prevention Approaches.;N.Choudhary;Proceedings of International Conference on Information and Communication Technology for Intelligent Systems,,2017
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