Tag: ml

• Benchmark Basics (23 Dec 2018)
  

  Now that we have this fancy lab, a benchmark is needed for qualitative evaluation of different algorithms and products.
  For this, I’ve built a Python 3-based framework for ease of use.

• Datasets (23 Dec 2018)
  

  There are various well known and well used datasets that are used in academia.
  Let’s have a look at some of them and their properties. For the final version of my testbench I am using NSL-KDD as well as CICIDS2017.

• Master Netflow Lab (27 Jun 2018)
  

  For the matter of my masters’ thesis I am in need of a well defined lab environment that is capabale of simulating traffic as well as running on test data.
  This is how I built it.

• Lab Overview (12 Jun 2018)
  

  As I am building a different approach to IDS from the bottom, I am in need of a proper lab setup.
  This post outlines a high level overview to nuture a basic understanding of future architecture decisions.

• Splunk and Netflows (27 May 2018)
  

  So, you want to do your large scale intrusion detection on netflows - but how do you get them in a datasink?
  Let me tell you about Splunk Stream, the TA that saved my prolonged back in the setup phase.

• Machine Learning Basics (14 May 2018)
  

  Until now, we have successfully defined what an Intrusion Detection System is and how it can be categorized.
  Now I have to say, I am a really lazy person, as many Computer Science people are.
  I like to leave the heavy lifting and processing to machines that are really good and efficient at this task.
  That’s where Machine Learning comes into play.