With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

With the rapid development and widespread application of cloud computing, cloud
computing open networks and service sharing scenarios have become more complex and …

Various attacks have emerged as the major threats to the success of a connected world like
the Internet of Things (IoT), in which billions of devices interact with each other to facilitate …

Network malicious traffic detection is one of the essential tasks of computer networks, which
has become an obstacle to network development as networks are expanding in size and …

IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …

The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …

The proliferation of Internet of things (IoT) devices has lured hackers to launch attacks.
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …

The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

In order to study the application of deep learning in the design of network traffic anomaly
detection device, aiming at two common problems in the field of network anomaly detection …

DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security
and integrity of computer networks and information systems, which are indispensable …