From charlesreid1

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this will install to <code>/usr/local/</code>
this will install to <code>/usr/local/</code>


=Notes=
=References=


How would you integrate outlier detection, unsupervised learning, and classification algorithms to improve networking benchmarks and differentiation of traffic?
Bro documentation on github: https://github.com/bro/bro/tree/master/doc


What does Bro do "under the hood" and how can that be improved by machine learning?
quickstart once you do make docs: file:///home/charles/codes/security/bro/build/html/quickstart/index.html


=Flags=
=Flags=


{{NetworkMonitoringFlag}}
{{NetworkMonitoringFlag}}

Revision as of 15:39, 26 January 2018

Initial Notes

Intrusion detection system.

Bro training has pcaps with samples of things like malware hiding shells in HTTP traffic. For example:

Hat tip:

Installing

Debian - from source

To install on Debian from source, check out the repo with all submodules:

git clone --recursive https://github.com/bro/bro.git

The INSTALL file is pretty clear with its instructions, but the summary:

sudo apt-get install cmake make gcc g++ flex bison libpcap-dev libssl-dev python-dev swig zlib1g-dev

In order to build Bro on Debian 9, install libssl1.0-dev instead of libssl-dev.

(Link: https://github.com/bro/bro/blob/master/doc/install/install.rst)

Then the usual:

./configure
make 
sudo make install

this will install to /usr/local/

References

Bro documentation on github: https://github.com/bro/bro/tree/master/doc

quickstart once you do make docs: file:///home/charles/codes/security/bro/build/html/quickstart/index.html

Flags