In this paper, we propose a new technique to process the Http request called Code Embedding. The proposed method was integrated within the Convolutional neural ...

2021/02/12 · In this paper, we propose a new technique to process the Http request called Code Embedding. The proposed method was integrated within the Convolutional neural ...

2020/11/04 · In this paper, we propose a new technique to process the Http request called Code Embedding. The proposed method was integrated within the ...

2018/11/21 · In this paper, we propose a malicious requests detection system with re-learning ability based on an improved convolution neural network (CNN) model.

そこで我々の先行研究ではCharacter-level Convolutional Neural Network (CLCNN) を用いて，悪意のあるHTTPリクエストの識別システムの構築を行なった．しかし，CLCNN ...

This paper proposes a malicious requests detection system with re-learning ability based on an improved convolution neural network (CNN) model that adds a ...

In order to overcome the above problems, we propose a neural network based on deep learning and multi granularity feature fusion to detect malicious web ...

Malicious Http Request Detection Using Code-Level Convolutional Neural Network. I Jemal, MA Haddar, O Cheikhrouhou, A Mahfoudhi. Risks and Security of Internet ...

In this paper, we propose a malicious requests detection system with re-learning ability based on an improved convolution neural network (CNN) model. We add a ...

The Convolutional Neural Network based deep learning classifier is trained using HTTP request parameters like Content Type, Length, Requested URL and Data etc.