Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …

Recently, deep learning, an emerging machine learning technique, is garnering a lot of
research attention in several computer science areas. However, to the best of our …

Malicious traffic classification is the initial and primary step for any network-based security
systems. This traffic classification systems include behavior-based anomaly detection …

Since the last decade of the 20th century, the Internet had become flourishing, which drew
great interest in the detection of abnormal network traffic. Particularly, it's impossible to …

Software-defined Networking (SDN) is the key catalyst in the next-generation network. Cloud
computing has shown rapid growth due to the development of SDN. Due to the growth in …

Deep learning (DL) performs well in many traffic analysis tasks. Nevertheless, the
vulnerability of deep learning weakens the real-world performance of these traffic analyzers …

Accurate traffic classification is essential for traffic engineering and Quality of Service (QoS)
guarantee, especially in Internet of Things (IoT). Different applications have different network …

We present a processing pipeline for flow-based traffic classification using a machine
learning component leveraging Deep Neural Networks (DNNs). The system is trained to …