In recent years, the Internet of Things (IoT) has made great progress. The interconnection
between IoT and the Internet enables real-time information processing and transaction …

With more attention paid to user privacy and communication security, the volume of
encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic …

The increasing diffusion of mobile devices has dramatically changed the network traffic
landscape, with Traffic Classification (TC) surging into a fundamental role while facing new …

Decentralized Applications (DApps) are increasingly developed and deployed on
blockchain platforms such as Ethereum. DApp fingerprinting can identify users' visits to …

With the widespread use of encrypted data transport, network traffic encryption is becoming
a standard nowadays. This presents a challenge for traffic measurement, especially for …

Identifying IoT devices connected to a network has multiple security benefits, such as
deployment of behavior-based anomaly detectors, automated vulnerability patching of …

Encrypted web traffic can reveal sensitive information of users, such as their browsing
behaviors. Existing studies on encrypted traffic analysis focus on website fingerprinting. We …

With a profusion of network applications, traffic classification plays a crucial role in network
management and policy-based security control. The widely used encryption transmission …

With the rapidly emerging encryption techniques for network traffic, the classification of
encrypted traffic has increasingly become significantly important in network management …

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 …