Multi-Modal Features Representation-Based Convolutional Neural Network Model for Malicious Website Detection-Reference-Cited by-同舟云学术

Multi-Modal Features Representation-Based Convolutional Neural Network Model for Malicious Website Detection

Author:

Alsaedi Mohammed¹,Ghaleb Fuad A.²^ORCID,Saeed Faisal³^ORCID,Ahmad Jawad⁴^ORCID,Alasli Mohammed¹^ORCID

Affiliation:

1. College of Computer Science and Engineering, Taibah University, Medina, Western Region, Saudi Arabia

2. Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

3. DAAI Research Group, College of Computing and Digital Technology, Birmingham City University, Birmingham, U.K

4. School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, U.K

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference49 articles.

3. The ghost in the browser: Analysis of web-based malware;Provos;HotBots,2007

4. 18.5 Million websites infected with malware at any time;Townsend,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献