Enhancing Spam Detection: A Crow-Optimized FFNN with LSTM for Email Security
Email security is paramount in today's digital landscape, as the proliferation of spam emails poses a significant threat to individuals and organizations alike. To combat this menace, this study introduces a novel approach that marries the power of Crow Search Optimization (CSO) with a Feedfor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Computer and Information Technology – University of Wasit, Iraq
2024-04-01
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| Series: | Wasit Journal of Computer and Mathematics Science |
| Subjects: | |
| Online Access: | https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/199 |