@inproceedings{f3353a5982184187871cfb310ca421e4,
title = "Phishing Recognition Software based on Machine Learning",
abstract = "The main goal of our research is to enhance online security by accurately identifying potential phishing threats, thereby mitigating risks to users and organizations. To this end we developed and optimized a software tool to detect phishing websites in real time using advanced machine learning techniques. The software features a user-friendly interface that allows easy access to phishing detection functionality, making cybersecurity more accessible to all levels of users.",
keywords = "cybersecurity, Machine Learning, Neural Networks, phishing detection",
author = "Zheng Gao and Gabriela Mogos",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 8th International Conference on Communication and Information Systems, ICCIS 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2024",
doi = "10.1109/ICCIS63642.2024.10779406",
language = "English",
series = "2024 8th International Conference on Communication and Information Systems, ICCIS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "134--139",
booktitle = "2024 8th International Conference on Communication and Information Systems, ICCIS 2024",
}