APuML: An Efficient Approach to Detect Mobile Phishing Webpages using Machine Learning-Reference-Cited by-同舟云学术

APuML: An Efficient Approach to Detect Mobile Phishing Webpages using Machine Learning

Published:2022-05-02 Issue:4 Volume:125 Page:3227-3248
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Jain Ankit Kumar^ORCID,Debnath Ninmoy,Jain Arvind Kumar

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-022-09707-w.pdf

Reference24 articles.

1. “Percentage of Internet Traffic is Mobile?,” Available: https://www.oberlo.in/statistics/mobile-internet-traffic (Last Accessed on 7th June 2021).

2. S. O'Dea, “Number of smartphones sold to end users worldwide from 2007 to 2020(in million units),” Available: https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-userssince-2007/ (last accessed: 26 May 2021).

3. Crane, C. “20 Phishing Statistics to Keep You from Getting Hooked in 2019,” Available: https://www.thesslstore.com/blog/20-phishing-statistics-to-keep-you-from-getting-hooked-in-2019/ (Last accessed on 26 May 2021).

4. Arghire, I. “Phishers Serve Fake Login Pages via Google Translate,” Available: https://www.securityweek.com/phishers-serve-fake-login-pages-google-translate (Last accessed on 26 May 2021).

5. “Beware of criminals pretending to be WHO”, Available: https://www.who.int/about/communications/cyber-security (Last accessed on 26 May 2021).

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