The service usage analysis, aiming at identifying customers' messaging behaviors based on
encrypted App traffic flows, has become a challenging and emergent task for service …

The mobile in-App service analysis, aiming at classifying mobile internet traffic into different
types of service usages, has become a challenging and emergent task for mobile service …

The service usage analysis, aiming at identifying customers' messaging behaviors based on
encrypted App traffic flows, has become a challenging and emergent task for service …

The rapid adoption of mobile messaging Apps has enabled us to collect massive amount of
encrypted Internet traffic of mobile messaging. The classification of this traffic into different …

In recent years, an increasing number of mobile platforms and applications have adopted
traffic encryption protocol technology to ensure privacy and security. Existing researches on …

The proliferation of mobile devices over recent years has led to a dramatic increase in
mobile traffic. Demand for enabling accurate mobile app identification is coming as it is an …

In this study, a simple yet effective framework is proposed to characterize fine-grained in-app
user activities performed on mobile applications using a convolutional neural network …

As smart phones gradually become the dominant network traffic generators, app traffic
analysis methods have gained great interests for network management and targeted …

The growing usage of smartphones in everyday life is deeply (and rapidly) changing the
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …

Many network services and tools (eg network monitors, malware-detection systems, routing
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …