Multi-Objective Genetic Algorithm and CNN-Based Deep Learning Architectural Scheme for effective spam detection-Reference-Cited by-同舟云学术

Multi-Objective Genetic Algorithm and CNN-Based Deep Learning Architectural Scheme for effective spam detection

Published:2022 Issue: Volume:3 Page:9-15
ISSN:2666-6030
Container-title:International Journal of Intelligent Networks
language:en
Short-container-title:International Journal of Intelligent Networks

Author:

Rosita P Jenifer Darling,Jacob W. Stalin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Computer Networks and Communications,Artificial Intelligence

Reference15 articles.

1. Spam detection approach for secure mobile message communication using machine learning algorithms;GuangJun;Secur. Commun. Network.,2020

2. Detection of online phishing email using dynamic evolving neural network based on reinforcement learning;Smadi;Decis. Support Syst.,2018

3. Comparative study of classification algorithms for spam email detection;Sharaff;Emerging Research in Computing, Information, Communication and Applications,2015

4. Survey of review spam detection using machine learning techniques;Crawford;Journal of Big Data,2015

5. Using naive Bayes method to classify text-based email. 2018 9th international symposium on parallel architectures;Kang;Algorithms and Programming (PAAP),2018

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