Abstract Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced
technology that can enhance people life quality and smartness of cities dramatically and …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Traffic characterization is one of the major challenges in today's security industry. The
continuous evolution and generation of new applications and services, together with the …

Identifying the type of a network flow or a specific application has many advantages, such
as, traffic engineering, or to detect and prevent application or application types that violate …

Identifying threats contained within encrypted network traffic poses a unique set of
challenges. It is important to monitor this traffic for threats and malware, but do so in a way …

As a fundamental tool for network management and security, traffic classification has
attracted increasing attention in recent years. A significant challenge to the robustness of …

The use of TLS by malware poses new challenges to network threat detection because
traditional pattern-matching techniques can no longer be applied to its messages. However …

The research community has begun looking for IP traffic classification techniques that do not
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …

The conformal predictions framework is a recent development in machine learning that can
associate a reliable measure of confidence with a prediction in any real-world pattern …