MMWD: An efficient mobile malicious webpage detection framework based on deep learning and edge cloud

Author:

Liu Yizhi1,Zhu Chaoqun1,Wu Yadi1,Xu Heng1,Song Jun1ORCID

Affiliation:

1. School of Computer Science China University of Geosciences Wuhan P.R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference40 articles.

1. Device usage of Facebook users worldwide as of July;2020.https://www.statista.com/statistics/%7E377808/%7Edistribution‐of‐facebook‐u%25sers‐by‐device/. Accessed September 25 2020.

2. Percentage of mobile device website traffic worldwide from 1st quarter 2015 to 2nd quarter;2020.https://www.statista.com/statistics/277125/share‐of‐website‐traffic‐com%ing‐from‐mobile‐devices/. Accessed September 25 2020.

3. Mobile phishing attacks and defence mechanisms: State of art and open research challenges

4. Detecting Mobile Malicious Webpages in Real Time

5. Malicious URL detection using machine learning: a survey;Sahoo D;CoRR,2017

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