A malicious URL detection model based on convolutional neural network

Z Wang, X Ren, S Li, B Wang, J Zhang… - Security and …, 2021 - Wiley Online Library
With the development of Internet technology, network security is under diverse threats. In
particular, attackers can spread malicious uniform resource locators (URL) to carry out …

A Malicious URL Detection Model Based on Convolutional Neural Network

Z Wang, X Ren, S Li, B Wang, J Zhang… - Security and …, 2021 - dl.acm.org
With the development of Internet technology, network security is under diverse threats. In
particular, attackers can spread malicious uniform resource locators (URL) to carry out …

A Malicious URL Detection Model Based on Convolutional Neural Network

Z Wang, S Li, B Wang, X Ren, T Yang - … Privacy in Social Networks and Big …, 2020 - Springer
With the development of Internet technology, network security is facing great challenges.
Malicious URL detection can defend against attacks such as phishing, spams, and malware …

A Malicious URL Detection Model Based on Convolutional Neural Network

Z Wang - Security and Privacy in Social Networks and Big Data …, 2020 - books.google.com
With the development of Internet technology, network security is facing great challenges.
Malicious URL detection can defend against attacks such as phishing, spams, and malware …

A Malicious URL Detection Model Based on Convolutional Neural Network.

Z Wang, X Ren, S Li, B Wang… - Security & …, 2021 - search.ebscohost.com
With the development of Internet technology, network security is under diverse threats. In
particular, attackers can spread malicious uniform resource locators (URL) to carry out …

A Malicious URL Detection Model Based on Convolutional Neural Network

Z Wang, X Ren, S Li, B Wang… - Security and …, 2021 - search.proquest.com
With the development of Internet technology, network security is under diverse threats. In
particular, attackers can spread malicious uniform resource locators (URL) to carry out …

[引用][C] A Malicious URL Detection Model Based on Convolutional Neural Network

Z Wang, X Ren, S Li, B Wang, J Zhang, T Yang - 2021