Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Generally speaking, most systems of network traffic identification are based on features. The
features may be port numbers, static signatures, statistic characteristics, and so on. The …

The dynamic classification and identification of network applications responsible for network
traffic flows offers substantial benefits to a number of key areas in IP network engineering …

An accurate map** of traffic to applications is important for a broad range of network
management and measurement tasks. Internet applications have traditionally been …

Network managers are inevitably called upon to associate network traffic with particular
applications. Indeed, this operation is critical for a wide range of management functions …

We apply an unsupervised machine learning approach for Internet traffic identification and
compare the results with that of a previously applied supervised machine learning approach …

Desktops can be exploited to violate privacy. There are two main types of attack scenarios:
active and passive. We consider the passive scenario where the adversary does not interact …

The traffic classification problem has recently attracted the interest of both network operators
and researchers. Several machine learning (ML) methods have been proposed in the …

A critical aspect of network management from an operator's perspective is the ability to
understand or classify all traffic that traverses the network. The failure of port based traffic …