Survey of Website Phishing Detection Based Deep Learning Approach

المؤلفون

  • 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

الكلمات المفتاحية:

Phishing، Detection، Deep leaning

الملخص

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

منشور

2024-05-30

كيفية الاقتباس

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. استرجع في من https://aaasjournals.com/index.php/ajapas/article/view/844