Vehicular communication networks (VCNs) have been widely recognized as promising
solutions to support safety-related applications in urban transportation systems. However …

Encryption technology has been widely used in today's network communications. The early
classification of encrypted flows is of great value to the control, allocation and management …

We propose an attention-weighted model for parallel extraction of spatial-temporal features
to enhance the detection capabilities in the message queuing telemetry transport protocol …

Covid‐19 has been a life‐changer in the sphere of online education. With complete
lockdown in various countries, there has been a tumultuous increase in the need for …

At Presently, it is still a great challenge to achieve online classification of traffic flows due to
the highly varying network environments, eg, unpredictable new traffic classes, network …

The realization of Internet of Things (IoT) traffic classification is crucial to the management
and monitoring of the IoT network. Performing IoT traffic classification under a few-shot …

With the rapid advancement of the internet and online applications, traffic classification has
become an increasingly significant topic in computer networks. Managing network …

Network threat detection and identification are essential tasks in the defense of cyberspace.
However, current network threat detection methods have limitations such as narrow feature …

The fast online classification (FOC) of network traffic plays a critical role in the network
resource management and quality of service support. However, traditional network flow …

Distributed Denial of Service (DDoS) attacks threaten cloud servers by flooding redundant
requests, leading to system resource exhaustion and legitimate service shutdown. Existing …