May 15, 2021 · We design a malicious URL detection model based on a dynamic convolutional neural network (DCNN) to solve these problems.
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Sep 22, 2020 · This paper uses the word embedding method based on character embedding as the way of vector embedding to improve the deep convolutional neural network.
May 15, 2021 · We design a malicious URL detection model based on a dynamic convolutional neural network (DCNN) to solve these problems.
We design a malicious URL detection model based on a dynamic convolutional neural network (DCNN) to solve these problems. A new folding layer is added to the ...
A Malicious URL Detection Model Based on Convolutional Neural Network · Zhiqiang Wang, Shuhao Li, +2 authors. Tao Yang · Published in International Symposium on…
This paper proposes a model for detecting malicious URLs based on the CNN deep learning technique. The aim of the proposed CNNbased URL detection model is to ...
Missing: Convolutional Neural Network.
In this paper, I use a simple algorithm to detect and predicting URLs it is good or bad and compared with two other algorithms to know (SVM, LR). KEYWORDS.
Hence, this paper proposed malicious URL detection using multilayer Convolutional Neural Network (CNN). The proposed model first considered one layer of CNN.
Dec 19, 2023 · Following machine learning-based approaches, this paper proposes a model for detecting malicious URLs based on the CNN deep learning technique.
URLNet is a convolutional neural network (CNN) based model used to detect malicious URLs. The model exploits features of URL text string at both character and ...