The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

The rapid-develo** Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

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 massive adoption of hand-held devices has led to the explosion of mobile traffic
volumes traversing home and enterprise networks, as well as the Internet. Traffic …

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

A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment
allow users to easily control the physical world around them and facilitate their living styles …

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 …

The apps installed on a smartphone can reveal much information about a user, such as their
medical conditions, sexual orientation, or religious beliefs. In addition, the presence or …

Automatic fingerprinting and identification of smartphone apps is becoming a very attractive
data gathering technique for adversaries, network administrators, investigators and …

Encrypted traffic classification is receiving widespread attention from researchers and
industrial companies. However, the existing methods only extract flow-level features, failing …