A Semantically Analysis Deep Learning and Feature Selection Technique to Detect Phishing URLs Attack

Phishing is an attack that targets internet users, organizations, e-commerce websites, financial institutions, and government institutes on the internet. To resolve this problem, many techniques are used, like heuristic-based, DL (Deep Learning-Based) and ML (Machine Learning-Based). This paper provides a detailed understanding of all DL models and their feature selection and extraction techniques. Feature extraction techniques play an important role in reducing the dimensions of existing datasets. This study is very helpful to the researchers to analyse which model and feature extraction technique are best to resolve the problem of phishing attacks on the internet.