An Intelligent Phishing Detection Scheme Using Machine Learning

Book

Makkar, A., Kumar, N., Sama, L., Mishra, S. and Samdani, Y. Giri D., Buyya R., Ponnusamy S., De D., Adamatzky A. and Abawajy J.H. (ed.) An Intelligent Phishing Detection Scheme Using Machine Learning. Springer.
AuthorsMakkar, A., Kumar, N., Sama, L., Mishra, S. and Samdani, Y.
EditorsGiri D., Buyya R., Ponnusamy S., De D., Adamatzky A. and Abawajy J.H.
Abstract

In today’s era, the world is moving toward automation, in which objects connected to Internet can take independent decisions. In such an environment, machine learning which is an integral part of artificial intelligence, is used widely to design algorithms based on the data trends and historical relationships between data. However, security and privacy preservation in such an environment are key challenges in front of the research communities to handle. Hence, in this paper we present a framework which detects the phishing websites using machine learning. The proposed framework implements ten machine learning models and the best three models are ensembled followed by ten rounds of cross-validation. The overall performance of the proposed framework resulted an accuracy of 97.27% which is better than the existing proposals in the literature.

KeywordsComputer crime; Privacy by design
ISBN978-981-15-8061-1
ISSN2194-5365
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-15-8061-1_13
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-85098134565&partnerID=MN8TOARS
Output statusPublished
Publication dates
Online11 Dec 2020
Publication process dates
Deposited22 May 2023
PublisherSpringer
SeriesAdvances in Intelligent Systems and Computing
JournalAdvances in Intelligent Systems and Computing
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