46 lines
1.5 KiB
Markdown
46 lines
1.5 KiB
Markdown
# PacketBreeze
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PacketBreeze is an utility tool built for analysing and classifing packets by looking at packet headers.
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## Primary design goals:
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PacketBreeze aims to:
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- **Classify packets and flows as benign or malicious with high true positives (TP) and low false positives (FP)**.
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- **Use the labeled data to reduce amount of traffic requiring deeper analysis**.
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Additionally, PacketBreeze also categorizes packets into flows and shows a rich ensemble of flow data and statistics.
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| <img width="1559" alt="Packetbreeze-flows" src="https://user-images.githubusercontent.com/26308648/165219276-e9c9a99a-1bc1-40c9-bfaa-779b6380ae67.png"> |
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| *PacketBreeze takes packets and returns file with statistics of flows.* |
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| <img width="1559" alt="Packetbreeze-flowsClassification" src="https://user-images.githubusercontent.com/26308648/165219569-42a84939-8c28-4b70-b864-f4980c3ee27d.png">
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| *Packetbreeze takes packets and returns file with statistics of flows and classifies packets as benign or malicious.* |
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| <img width="1559" alt="Packetbreeze-Confusion-Matrix" src="assets/images/confusion.png">
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| *Packetbreeze's output shown in a confusion matrix.* |
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## When to use Packetbreeze
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Use PacketBreeze if you wish to build and operate machine-learning models on network packet data.
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## Quick Start
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## Who uses PacketBreeze?
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* One can use PacketBreeze to label the network packets using ML before deep analysis. Thus resulting in faster analysis overall.
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## Get in touch
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Thank you for using PacketBreeze.
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*
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## Support
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