Malicious URL Detection Based on a Parallel Neural Joint Model

Malicious URL Detection Based on a Parallel Neural Joint Model

A parallel neural joint model algorithm is proposed for the analysis and detection of malicious Uniform Resource Locator (URL). By detecting and analyzing malicious URL's characteristics, the semantic and visual information will be extracted. First, a visualization algorithm is used to realize...

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Bibliographic Details
Main Authors: Jianting Yuan, Guanxin Chen, Shengwei Tian, Xinjun Pei
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Malicious URL
cybercrime
capsule network
independent recurrent neural network
attention
Online Access:https://ieeexplore.ieee.org/document/9316171/

Internet

https://ieeexplore.ieee.org/document/9316171/

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