Overview

For a project overview, installation information, and detailed usage information please visit nPrint's project homepage

Installation

Supported Operating Systems

Debian Linux
macOS

Dependencies

libpcap - Packet sniffing
argp - Argument parsing

Install dependencies on Debian:

sudo apt-get install libpcap-dev

Install dependencies on Mac OS

brew install argp-standalone

Installation

Download the latest release tar here
Extract the tar tar -xvf [pcapml-version.tar.gz]
cd [pcapml-directory]
./configure && make && sudo make install

Citing nPrint

@inproceedings{10.1145/3460120.3484758,
author = {Holland, Jordan and Schmitt, Paul and Feamster, Nick and Mittal, Prateek},
title = {New Directions in Automated Traffic Analysis},
year = {2021},
isbn = {9781450384544},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3460120.3484758},
doi = {10.1145/3460120.3484758},
pages = {3366–3383},
numpages = {18},
keywords = {machine learning on network traffic, automated traffic analysis, network traffic analysis},
location = {Virtual Event, Republic of Korea},
series = {CCS '21}
}

nPrint's Projects

benchmarks

A central repository to track the progress of network traffic analysis

nprint

nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques

nprint.github.io

The nPrint Project's webpage.

nprintml

nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.

pcapml

pcapML standardizes network traffic analysis datasets by directly encoding metadata information into raw traffic captures

pcapml_fe

pcapML_FE (Feature Explorer) exposes a simple iterator over pcapML encoded traffic captures that enables researchers to focus on analysis methods as opposed data wrangling

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