1. Email spam classification using hybrid approach of RBF neural network and particle swarm optimization;Awad;Int. J. Netw. Secur. Appl.,2016
2. Measuring characterizing, and avoiding spam traffic costs;Fonseca;IEEE Int. Comp.,2016
3. Kaspersky Lab Spam Report,2017
4. An e-mail filtering approach using classification techniques;Bahgat,2016
5. A discrete mixture-based kernel for SVMs: application to spam and image categorization;Bouguila;Inf. Process. Manag.,2009