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AlirezaDehlaghi committed Jan 23, 2024
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4 changes: 4 additions & 0 deletions .buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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20 changes: 20 additions & 0 deletions _sources/api.md.txt
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# API reference

This page is under development!
## Helper Class

```{eval-rst}
.. automodule:: Helper
:members:
:show-inheritance:
```

## ICSFlowGenerator Class

```{eval-rst}
.. autoclass:: ICSFlowGenerator.ICSFlowGenerator
:imported-members:
:members:
:undoc-members:
:show-inheritance:
```
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.. Example documentation master file, created by
sphinx-quickstart on Sat Sep 23 20:35:12 2023.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to ICSFLow's documentation!
===================================

.. toctree::
:maxdepth: 2
:caption: Contents:

readme_copy.md
api.md
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# ICSFLowGenerator in Docs

This is tool for offline and online processing of network packets and creating network flows.



## Capabilities
Reading packets could be done in two modes
* offline from PCAP file
* online sniffing of LAN

We can annotate data using True labels or predicted labels
* Ture Labels: proving attack history log files, it can detect which flows are malicious
* Predicated Labels: We could also try to analyze network flows with pretrained model and predict its anomality.


## Arguments
positional arguments: <action:sniff|convert>
Choose online sniffing of a LAN or offline converting
PCAP file

options:
-h, --help show this help message and exit
--source <source file or LAN name>>
In online sniffing provide <LAN name> and in offline
converting provide <PCAP file>
--interval interval in seconds
interval to compute flows
--attacks attack log csv file address
attack file address for finding true flows' label
--predictor model address of pre trained ml model to classify incoming
flows
--target_stream <Stream address>
Target server address to stream out network flows
--target_file <csv file name>
csv file to output


## Sample runtime arguments
1) sniffing from Wi-Fi lan without annotation and writing flows to file:
```
sniff --source Wi-Fi --interval 0.5 --target_file output/sniffed.csv
```


2) offline generating of network flows from PCAP file with True label annotation and writing flows to file::
```
Convert
--source input/traffic.pcap
--interval 0.5
--attacks input/attacker_machine_summary.csv
--target_file output/sniffed.csv
```

3) offline generating of network flows from PCAP file with True label annotation and prediction and writing flows to file:
```
Convert
--source input/traffic.pcap
--interval 0.5
--attacks input/attacker_machine_summary.csv
--predictor input/predict_model.joblib
--target_file output/sniffed.csv
```
or
```
Convert --source input/traffic.pcap --interval 0.5 --attacks input/attacker_machine_summary.csv --target_file output/sniffed.csv
```

4) offline generating of network flows from PCAP file with True label annotation and prediction and sending them to both target file and MQTT server with credential:
```
Convert
--source input/traffic.pcap
--interval 0.5
--attacks input/attacker_machine_summary.csv
--predictor input/predict_model.joblib
--target_file output/sniffed.csv
--target_connection sample_connection.txt
```
123 changes: 123 additions & 0 deletions _static/_sphinx_javascript_frameworks_compat.js
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