Author:
Balim Caner,Gunal Efnan Sora
Cited by
11 articles.
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1. A privacy-preserving approach for detecting smishing attacks using federated deep learning;International Journal of Information Technology;2024-08-11
2. Smishing Dataset I: Phishing SMS Dataset from Smishtank.com;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19
3. NTPhish: A CNN-RNN Hybrid Deep Learning Model to Detect Phishing Websites;Lecture Notes in Networks and Systems;2024
4. A Machine Learning-based Approach for Detecting Smishing Attacks at End-user Level;2023 IEEE International Conference on e-Business Engineering (ICEBE);2023-11-04
5. Cybersmish: A Proactive Approach for Smishing Detection and Prevention using Machine Learning;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11