A lightweight data representation for phishing URLs detection in IoT environments-Reference-Cited by-同舟云学术

A lightweight data representation for phishing URLs detection in IoT environments

Published:2022-07 Issue: Volume:603 Page:42-59
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Bustio-Martínez Lázaro,Álvarez-Carmona Miguel A.,Herrera-Semenets Vitali,Feregrino-Uribe Claudia,Cumplido René

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference40 articles.

1. Hybrid Rule-Based Model for Phishing URLs Detection;Adewole,2019

2. Phishing attacks detection using machine learning approach;Alam,2020

3. Amazon, Alexa – The top 500 sites on the web, 2020. URL: https://www.alexa.com/topsites.

4. Measuring the Cost of Cybercrime;Anderson,2013

5. APGW, Phishing Activity Trends Report – 3rd Quarter 2020, 2020. URL:https://docs.apwg.org/reports/apwg_trends_report_q3_2020.pdf.

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