LDoS attacks are low-cost and have strong concealment. The attack traffic is often overwhelmed by legitimate network traffic. As a result, the detection of LDoS ...
As one of the oldest and most common attacks types on the Internet, the real purpose of a DoS attack is to disrupt and organize access to services to legitimate ...
Low-rate DoS attack detection method based on hybrid deep neural networks ... Pratomo, Unsupervised approach for detecting low rate attacks on network traffic ...
Low-rate DoS attack detection method based on hybrid deep neural networks ... A taxonomy of DoS/DDoS attacks and deep learning-based DoS-DDoS detection ...
Jan 18, 2022 · LDoS attack has more obvious characteristics such as low speed and good concealment than traditional DoS attacks. It can be completely mixed in ...
Missing: neural | Show results with:neural
Jan 18, 2022 · In this article, we propose a detection method of LDoS attacks based on a hybrid deep learning model CNN-GRU: the convolutional neural network (CNN) and the ...
Aug 28, 2024 · The low‐rate DoS (LDoS) attack is a new kind of network attack which has the characteristics such as low speed and good concealment.
People also ask
What are the different ways to detect DoS attacks?
What is low rate DoS attack?
What's the most common method an attacker uses in a DoS attack?
What are the three types of DoS and DDoS attacks?
A hybrid deep learning model based on the convolutional neural network and the gated recurrent unit is designed to detect the low‐rate DoS attack in software ...
Multi-type low-rate DDoS attack detection method based on hybrid ...
www.infocomm-journal.com › cjnis
The results show that the proposed method can detect four types of low-rate DDoS attacks online, including Slow Headers attack, Slow Body attack, Slow Read ...
Missing: neural | Show results with:neural
Aug 30, 2022 · Therefore, the intensity of LDoS attack flows is much smaller than that of DoS attacks, and the fluctuation of network flows caused by it is not ...