Encrypted traffic tunnelled by Tor or VPN is referred to as darknet traffic. The ability to detect,
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …

The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …

Deep machine learning techniques have shown promising results in network traffic
classification, however, the robustness of these techniques under adversarial threats is still …

The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …

Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …

In recent years, with the rapid development of Internet services in all walks of life, a large
number of malicious acts such as network attacks, data leakage, and information theft have …

Darknet, a source of cyber intelligence, refers to the internet's unused address space, which
people do not expect to interact with their computers. The establishment of security requires …

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 Darknet is a set of networks and technologies, having as fundamental principles
anonymity and security. In many cases, they are associated with illicit activities, opening …

While deep learning (DL)-based network traffic classification has demonstrated its success
in a range of practical applications, such as network management and security control to just …