Survey of Website Phishing Detection Based Deep Learning Approach

Authors

  • Salema Younus College of Electrical and Electronics Technology (CEET), Benghazi, 5213, Benghazi, Libya.
  • Salwa Almoshity College of Electrical and Electronics Technology (CEET), Benghazi, 5213, Benghazi, Libya
  • Abdeladim Moftah College of Science and Technology of Qaminis, Qaminis, Libya

Keywords:

Phishing, Detection, Deep leaning

Abstract

Phishing is a special type of network attack and is one of the most common social engineering techniques and easiest to use cybercrimes faced by general Internet users, governments, and businesses. There are several types of phishing in which users are directed to fake websites that resemble legitimate ones with the aim of obtaining accurate information from them such as account IDs, banking details and passwords. In this paper, reviewed several methods for detecting and preventing phishing based on deep learning (DL), as it is considered the most accurate and modern approach.

Dimensions

Published

2024-05-30

How to Cite

Salema Younus, Salwa Almoshity, & Abdeladim Moftah. (2024). Survey of Website Phishing Detection Based Deep Learning Approach. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 478–488. Retrieved from https://aaasjournals.com/index.php/ajapas/article/view/844