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pcap to ditg 1.0.1
pcap_to_ditg
Generates DITG flow
definition Files for each IP using a Packet Capture (.pcap) file as
input
Installation
The package is available to be installed through PyPI - the Python
Package Index at https://pypi.org/project/pcap_to_ditg
You can install the latest version by running:
$ sudo pip install pcap_to_ditg
The latest release can be also downloaded from the Github
repository
Usage
The help section of the
run.py
program describes the usage details
usage: run.py [-h] [-t START_TIME] [-e END_TIME] [-s PACKET_SIZE_OPTIONS] [-p]
[-c] [-op]
pcap_file mapper_file list_file
Generate DITG script files from a pcap file
positional arguments:
pcap_file .pcap file to be used in generation
mapper_file Mapper file to be used in generation
list_file File containing all distinct IPs to be used in
generation
optional arguments:
-h, --help show this help message and exit
-t START_TIME, --start-time START_TIME
Timestamp (in sec) from which the file should be read
-e END_TIME, --end-time END_TIME
Timestamp (in sec) until which the file should be read
-s PACKET_SIZE_OPTIONS, --packet-size-options PACKET_SIZE_OPTIONS
Packet size options to be used for each flow (for ex.
For Anonymized trace pcap files). If not provided,
*_ps files are created for each flow by using packet
sizes as per the pcap file
-p, --print-all-ips Print all distinct IPs appearing in the pcap file and
exit
-c, --clean Remove any older generated files and exit the program
-op, --orig-ports Whether original destination ports should be used or a
non-clashing port should be assigned
The format of list_file is as follows:
10.0.1.10,
10.0.2.10,
.
.
.
These are the IPs that are appearing in the PCAP file (as
specified by pcap_file argument)
You can generate this list automatically by running the example
program with -p option
$ touch list_file
$ python run.py -p pcap_file mapper_file list_file > list_file
Note: While running the program with -p option, the files
mapper_file and list_file are not actually used but still
have to be provided as argument and should exist.
The format of mapper_file is as follows:
Host,Start_row,End_row,Number,IP
h1,1734,1902,169,10.0.0.1
h2,1528,1733,206,10.0.0.2
.
.
.
Usage in a different script or in interpreter mode is as:
>> from pcap_to_ditg import pcap_to_ditg
>> pcap_file_path = '***'
>> mapper_file_path = '***'
>> list_file_path = '***'
>> options = {'end_time' : 60}
>> p = pcap_to_ditg.pcap_to_ditg(
pcap_file_path,
mapper_file_path,
list_file_path,
options
)
The flow scripts and the IDT files have been generated and have been saved in separate sub-folders *_ditg_files.
>>
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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