@inproceedings{ce753108824e42f99083b0ae35def98e,
title = "A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites",
keywords = "Machine learning, Phishing, Phishing webpage detection, Webpage features, Zero hour phishing website",
author = "Thomas Nagunwa and Syed Naqvi and Shereen Fouad and Hanifa Shah",
note = "Funding Information: Acknowledgement. The research leading to the results presented in the paper was partially funded by the UK Commonwealth Scholarship Commission (CSC). Publisher Copyright: © 2020, Springer Nature Switzerland AG.; International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019 ; Conference date: 13-05-2019 Through 15-05-2019",
year = "2020",
doi = "10.1007/978-3-030-20005-3_4",
language = "English",
isbn = "9783030200046",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "36--46",
editor = "{Mart{\'i}nez {\'A}lvarez}, Francisco and {Troncoso Lora}, Alicia and H{\'e}ctor Quinti{\'a}n and {S{\'a}ez Mu{\~n}oz}, {Jos{\'e} Ant{\'o}nio} and Emilio Corchado",
booktitle = "International Joint Conference",
}