With ever-increasing volume and variety of multimedia traffic on the Internet, machine learning-empowered techniques nowadays tend to become indispensable for future intelligent network management. To realize automatic management with Quality Service (QoS) guarantees, there is a pressing need accurate classification. However, inherent characteristics networks cause imbalanced class distribution...

Abstract Writing classification rules to identify interesting network traffic is a time-consuming and error-prone task. Learning-based systems automatically extract such from positive negative examples. However, due limitations in the representation of learning strategy, these lack both expressiveness cover range applications interpretability fully describing traffic’s structure at session laye...

Darknet is an encrypted portion of the internet for users who intend to hide their identity. Darknet’s anonymous nature makes it effective tool illegal online activities such as drug trafficking, terrorist activities, and dark marketplaces. traffic recognition essential in monitoring detection malicious activities. However, due anonymizing strategies used darknet conceal users’ identity, practi...

traffic prediction systems can play an essential role in intelligent transportation systems (its). prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (atis) and in its traffic control systems. however, due to their complex nonlinear patterns, these systems ...

Network traffic classification can be used to identify different applications and protocols that exist in a network. Actions such as monitoring, discovery, control and optimization can be performed by using classified network traffic. The overall goal of network traffic classification is improving the network performance. Once the packets are classified as belonging to a particular application,...

The Internet, while emerging as the key component for all sorts of communication, is far from well-understood. The goal of traffic classification is to understand the type of traffic carried on the Internet, which continually evolves in scope and complexity. For security and privacy reasons, many applications have emerged that utilize obfuscation techniques such as random ports, encrypted data ...