Self-Supervised Traffic Classification: Flow Embedding and Few-Shot Solutions
Internet traffic classification has been intensively studied over the past decade due to its
importance for traffic engineering and cyber security. A promising approach to several traffic …
importance for traffic engineering and cyber security. A promising approach to several traffic …
[HTML][HTML] Classifying attack traffic in IoT environments via few-shot learning
Abstract The Internet of Things (IoT) is a key enabler for critical systems, but IoT devices are
increasingly targeted by cyberattacks due to their diffusion and hardware and software …
increasingly targeted by cyberattacks due to their diffusion and hardware and software …
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning
Despite its proven effectiveness in classifying encrypted network traffic, deep learning
requires large amounts of labeled data to feed typical data-hungry training processes. Few …
requires large amounts of labeled data to feed typical data-hungry training processes. Few …
IoT Botnet-Traffic Classification Using Few-Shot Learning
The Internet of Things (IoT) is experiencing a constant expansion, embedding connectivity
into everyday objects for increased efficiency. Despite this, security vulnerabilities pose a …
into everyday objects for increased efficiency. Despite this, security vulnerabilities pose a …