Detecting Malicious URLs via a Keyword-Based Convolutional Gated-Recurrent-Unit Neural Network

Detecting Malicious URLs via a Keyword-Based Convolutional Gated-Recurrent-Unit Neural Network

With the continuous development of Web attacks, many web applications have been suffering from various forms of security threats and network attacks. The security detection of URLs has always been the focus of Web security. Many web application resources can be accessed by simply entering an URL or...

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Bibliographic Details
Main Authors: Wenchuan Yang, Wen Zuo, Baojiang Cui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gated recurrent unit (GRU)
malicious URL detection
network attack
character-level embedding
convolutional neural network
neural network model
Online Access:https://ieeexplore.ieee.org/document/8629082/

Internet

https://ieeexplore.ieee.org/document/8629082/

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