Anonymous network traffic is more pervasive than ever due to the accessibility of services
such as virtual private networks (VPN) and The Onion Router (Tor). To address the need to …

With the meteoric rise in anonymous network traffic data, there is a considerable need for
effective automation in traffic identification tasks. Though many shallow and deep machine …

The abuse of anonymous communication technology brings serious challenges to network
supervision. The valid identification of anonymity network traffic is a prerequisite and …

Supervising anonymity network is a critical issue in the field of network security, and
traditional traffic analysis methods cannot cope with complex anonymity traffic. In recent …

Traffic classification, as a fundamental tool for network management and security, is
suffering from a critical problem, namely “unknown traffic”. The unknown traffic is defined as …

With the fast growing demand on new services and applications as well as the increasing
awareness of data protection, traditional centralized traffic classification approaches are …

According to the critical requirements of the Internet, a wide range of privacy-preserving
technologies are available, eg proxy sites, virtual private networks, and anonymity tools …

Identifying anonymity services from network traffic is a crucial task for network management
and security. Currently, some works based on deep learning have achieved excellent …

As a system allowing intra-network devices to automatically communicate over the Internet,
the Internet of Things (IoT) faces increasing popularity in modern applications and security …

As an essential task for network management and security, network traffic classification has
attracted increasing attention in recent years. Traditional traffic classification methods …