The Darknet is a section of the internet that is encrypted and untraceable, making it a
popular location for illicit and illegal activities. However, the anonymity and encryption …

The challenges in citywide traffic flow are intricate, encompassing various factors like
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …

The application of deep learning has become prevalent in the area of network traffic
classification. Deep learning has acquired widespread use in network traffic classification …

The rapid proliferation of Internet of Things (IoT) devices has brought about unprecedented
convenience to people's daily lives. However, this growth has also created opportunities for …

Predicting crowd flows in smart cities poses a significant challenge for the intelligent
transportation system (ITS). Traffic management and behavioral analysis are crucial and …

Oblique detonation, with its attributes of self-ignition, rapid heat release, and high thermal
cycle efficiency, has garnered significant attention. It is crucial to explore methods that …

In the era of the Internet of Things (IoT), the proliferation of connected devices has raised
security concerns, increasing the risk of intrusions into diverse systems. Despite the …

The rapid expansion of IoT networks, combined with the flexibility of Software-Defined
Networking (SDN), has significantly increased the complexity of traffic management …

Withthe rapiddevelopment of deep learning, the size of data sets anddeepneuralnetworks
(DNNs) models are also booming. As a result, the intolerable long time for models' training …

Deep learning is successful in providing adequate classification results in the field of traffic
classification due to its ability to characterize features. However, malicious traffic captures …