The College's Participation in the First Libyan Conference on Technology and Innovation 2024 with a research paper titled: A Survey on Deep Learning-Based Phishing Detection on Websites Prepared by: . Salima Younis - College of Electrical and Electronic Technology . Salwa Al-Mushaiti - College of Electrical and Electronic Technology . Abdel Azim Muftah - Qaminis College of Science and Technology The paper highlights phishing, a specific type of network attack and one of the most common and easiest cybercrimes to use, which Internet users, governments, and companies face. There are several types of phishing where users are directed to fake websites resembling legitimate ones to obtain accurate information from them, such as account IDs, banking details, and passwords. In this paper, several methods for detecting and preventing phishing based on deep learning are reviewed, as it is considered the most accurate and modern approach.