This method can detect the current network traffic according to the LSTM prediction model, compare the current data with the prediction data of the LSTM detection model, and judge whether the car networking system is under DDOS attack according to the threshold value; in addition, the method can also continuously learn ...
Apr 13, 2022 · This paper proposes a detection method based on LSTM neural network in the mobile edge computing environment of the Internet of Vehicles.
Distributed denial of service (DDoS) attacks have become a hidden danger in the development of the internet of vehicles (IoV). DDoS attacks for TCP protocol ...
Based on this architecture, the intra-VD and inter-VD routing algorithms are proposed. In the intra-VD routing algorithm, a vehicle achieves the communications ...
People also ask
What is DDoS attack detection?
Are DDoS attacks carried out with networks of Internet connected machines?
Which technique is used in DDoS attacks?
What are the three types of DOS and DDoS attacks?
In this paper, we propose a novel DDoS attack detection method for in-vehicle Ethernet Scalable service-Oriented Middleware over IP (SOME/IP),
The method uses the stacked Auto-encoder-based model proposed in the paper to detect network traffic in the telematics network, feeds the traffic data into the ...
Missing: LSTM | Show results with:LSTM
Aug 9, 2024 · The design of DDoS attack detection system includes the following features: capture and collect network traffic, pre-process the collected ...
This paper proposes a feature-engineering- and machine-learning-based approach to detect DDoS attacks in SDNs.
This paper proposes a novel methodology based on DL for DDoS detection that leverages adaptive architectures in a transfer learning modality.
In this paper, we propose a novel DDoS attack detection method for in-vehicle Ethernet Scalable service-Oriented Middleware over IP (SOME/IP), which integrates ...