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bigflow's Introduction

BigFlow

An extensive corpus for network flow measurement and analysis of massive network activity

Measurement Architecture

Extracts over 158 features based solely on raw network packet header traces. (Note that some features may be repeated...)
All features are extracted in real-time based on several papers.
Only features that can be extracted directly from the network packet header is extracted (flags + fields - options)

Features set overview

Nr. of Feat. Nr. of Orig. Feat. Paper
15 17 ORUNADA - Online and Scalable Unsupervised Network Anomaly Detection Method (2016)
21 22 NIGEL - A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (2006)
60 249 MOORE - Discriminators for use in flow-based classification (2005)
62 44 VIEGAS - Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems (2017)

Classification Architecture

TBD

Note that BigFlow input should be generated by PCAPNetworkPacketExporter API

bigflow's People

Contributors

viegaseduardo avatar

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