Iris is a framework for developing expressive, high-performance network traffic analysis applications.

Some Conferences' accepted paper lists (including Network, Security, AI) 顶会近五年论文列表

A curation of awesome papers, datasets and tools about network traffic analysis.

Hop is a transport and remote access protocol addressing many of SSH's shortcomings.

⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches

A Universal Framework for Scalable Deep Learning Inference on the Dataplane

Flowrest: in-switch flow-level classification with random forests

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Materials about Encrypted Traffic Analysis

北京航空航天大学(北航)课程作业资料共享计划

LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification

CESNET DataZoo: A toolset for large network traffic datasets

NFStream: a Flexible Network Data Analysis Framework.

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports la…

解析dpdk数据包

A set of Zeek scripts to detect ATT&CK techniques.

A network packet forensics tool for SSH