As the size and source of network traffic increase, so does the challenge of monitoring and
analyzing network traffic. Therefore, sampling algorithms are often used to alleviate these …

Censorship-circumvention systems are designed to help users bypass Internet censorship.
As more sophisticated deep-packet-inspection (DPI) mechanisms have been deployed by …

The ability to identify mobile apps in network traffic has significant implications in many
domains, including traffic management, malware detection, and maintaining user privacy …

Deep packet inspection (DPI) technologies provide much-needed visibility and control of
network traffic using port-independent protocol identification, where a network flow is …

Deep packet inspection technology became a cornerstone of Internet censorship by
facilitating cheap and effective filtering of what censors consider undesired information …

Network security is a long-lasting field of research constantly encountering new challenges.
Inherently, research in this field is highly data-driven. Specifically, many approaches employ …

В данной работе дается обзор научных исследований в области анализа сетевого
трафика в режиме реального времени, а также рассматриваются конкретные …

Bot detection methods that rely on deep packet inspection (DPI) can be foiled by encryption.
Encryption, however, increases entropy. This paper investigates whether adding …

The domain name system plays a vital role in the dependability and security of modern
network. Unfortunately, it has also been widely misused for nefarious activities. Recently …

Detecting encrypted traffic is increasingly important for deep packet inspection (DPI) to
improve the performance of intrusion detection systems. We propose a machine learning …