В статье рассматривается задача классификации сетевого трафика с использованием
методов машинного обучения. Приводятся различные постановки задачи …

Traffic classification solutions are widely used by network operators and law enforcement
agencies (LEA) for application identification. Widespread use of encryption reduces the …

This survey is dedicated to the task of network traffic classification, particularly to the use of
machine learning algorithms in this task. The survey begins with the description of the task …

This survey is devoted to the task of network traffic classification, specifically, to the use of
machine learning algorithms in this task. The survey begins with the description of the task …

Network traffic classification is a vital task for service operators, network engineers, and
security specialists to manage network traffic, design networks, and detect threats …

The paper investigates the impact of network traffic and network characteristics on the
effectiveness of keystroke dynamics for continuous and one-time authentication in the …

This article poses the task of analyzing network traffic using machine learning methods. The
division of instant message service traffic into classes of possible user activities is made, the …

Packet classification plays a critical role in improving the performance of many network
devices including routers, firewalls and intrusion detection systems. Due to the increasing …

ABSTRACT This Master Thesis presents the design of a hardware platform for the
implementation of the prediction phase of an encrypted TCP/IP network traffic classification …

Encryption methods adopted in TCP/IP based communications represent a challenge to
traffic classification. This scenario has encouraged an evolution from classic techniques …