Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting-Reference-Cited by-同舟云学术

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Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting

Published:2019-11 Issue:6 Volume:13 Page:659-669
ISSN:1751-8717
Container-title:IET Information Security
language:en
Short-container-title:IET Information Security

Author:

Ali Waleed¹,Ahmed Adel A.²

Affiliation:

1. Information Technology DepartmentFaculty of Computing and Information TechnologyKing Abdulaziz UniversityRabighKingdom of Saudi Arabia

2. Information Systems DepartmentFaculty of Computing and Information TechnologyKing Abdulaziz UniversityRabighKingdom of Saudi Arabia

Funder

Deanship of Scientific Research, King Saud University

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Networks and Communications,Information Systems,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ifs.2019.0006

Reference50 articles.

1. Predicting phishing websites based on self-structuring neural network

2. An efficient phishing webpage detector

3. Tutorial and critical analysis of phishing websites methods

4. Phishing detection based Associative Classification data mining

5. Machine Learning Based Phishing Web Sites Detection

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1. Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection;Applied Sciences;2024-07-12

2. Safeguarding cyberspace: Enhancing malicious website detection with PSO optimized XGBoost and firefly-based feature selection;Computers & Security;2024-07

3. Automatic Stock Price Prediction and Classification Based on Hybrid with AI Feature Selection Method;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

4. MDepthNet based phishing attack detection using integrated deep learning methodologies for cyber security enhancement;Cluster Computing;2024-02-29

5. Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge;Cluster Computing;2024-02-12

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