Exploring efficiency of character-level convolution neuron network and long short term memory on malicious URL detection

TTT Pham, VN Hoang, TN Ha - Proceedings of the 2018 VII International …, 2018 - dl.acm.org
Machine learning techniques, especially deep learning neuron networks have been
increasingly applied to solve the problems relating to information security and cybersecurity …

Deep approaches on malicious URL classification

A Das, A Das, A Datta, S Si… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Malicious URLs are one of the biggest threats to this digital world and preventing it is one of
the challenging tasks in the domain of cyber security. Previous research to tackle malicious …

Evaluating deep learning approaches to characterize and classify malicious URL's

R Vinayakumar, KP Soman… - Journal of Intelligent & …, 2018 - content.iospress.com
Malicious uniform resource locator (URL), termed as malicious website is a foundation
mechanisms for many of internet criminal activities such as phishing, spamming, identity …

Detection of malicious URLs using deep learning approach

KS Ray, R Kusshwaha - The" Essence" of Network Security: An End-to …, 2021 - Springer
A phishing attack is one of the cyberbullying activities over the Internet. Most of the phishing
websites try to imitate the legitimate websites. Web contents of phishing websites and URL …

A bi-directional LSTM model with attention for malicious URL detection

F Ren, Z Jiang, J Liu - 2019 IEEE 4th Advanced Information …, 2019 - ieeexplore.ieee.org
Malicious URLs have become an important attack vector used by attackers to perpetrate
cybercrimes, how to effectively detect malicious URLs is an important and urgent problem to …

Research on malicious URL detection based on feature contribution tendency

S He, J Xin, H Peng, E Zhang - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet, the number of malicious URLs is growing, too. It
brings great security threats to people. The current malicious URL detection methods based …

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 …

Malicious URL detection using multilayer CNN

A Singh, PK Roy - … conference on innovation and intelligence for …, 2021 - ieeexplore.ieee.org
Due to developing Internet-based technologies, the number of online domains and URLs is
increasing globally. Parallel several cybersecurity threats and phishing attacks have been …

Malicious URL detection based on improved multilayer recurrent convolutional neural network model

Z Chen, Y Liu, C Chen, M Lu… - Security and …, 2021 - Wiley Online Library
The traditional malicious uniform resource locator (URL) detection method excessively relies
on the matching rules formulated by the network security personnel, which is hard to fully …

Malicious url classification using deep neural network

M Sen, KS Ray, A Chakrabarti - 2021 IEEE 18th India Council …, 2021 - ieeexplore.ieee.org
One of the most serious cybersecurity threats has been discovered as malicious URL
classification. People are duped into believing they are visiting a respectable website, and …