C++ network traffic sensor utilizing Netmap capture mechanism and stores data in ELK Stack for further processing, analyzing and visualizing
None
Tomas Bellus
- Refer to the
INSTALL.txt
file for compilation and installation. - Modify
<REPO_ROOT>/resources/config.yml
accordingly. - Run any of the built targets from <REPO_ROOT>.
NOTE: If netmap-based libpcap is not your installed libpcap library:
For running 'traffcol' main executable you must have super-user priveleges
and prepend the execution with LD_LIBRARY_PATH
variable setting the path to
netmap-based libpcap directory containing the library file.
- Locate to <REPO_ROOT>
- Run
./build/traffcol-validate
- Locate to <REPO_ROOT>.
- Run
./build/traffcol-print-config
.
- Locate to <REPO_ROOT>.
- Run
sudo ./build/traffcol
.
After successfully compiling the sensor, installing and configuring the ELK stack with initialized index template and loaded visualizations and dashboards, you are ready to use the Kibana for monitoring your network (if sensor is running and data is flowing).
- Open Kibana in your favorite browser by going to : address (if the port was not change during installation its 5601)
- Kibana offers to try their sample data for experimenting. Choose the other option for exploring your own data. (applies to first open)
- Locate to the
Dashboard
from the side bar and select the dashboard from list. - Possible errors will pop-up on the top of the page if no data is yet present.
- Monitor your network traffic by manipulating filters and time ranges.