Reactive Malicious Domain Detection (ENTRADA)
One interesting trend of the last year or two is the rising use of data analytics and ANI (Artificial Narrow Intelligence) in solving network engineering problems. Several ideas (and/or solutions) were presented this year at the IETF meeting in Seoul; this post takes a look at one of these. To lay the groundwork, botnets are often controlled through a set of domain names registered just for this purpose. In the same way, domain names are often registered just to provide a base for sending bulk mail (SPAM), phishing attacks, etc. It might be nice for registrars to make some attempt to remove such domains abused for malicious activities, but it’s difficult to know what “normal” activity might look like, or for the registrar to even track the usage of a particular domain to detect malicious activity. One of the papers presented in the Software Defined Network Research Group (SDNRG) addresses this problem directly.
The first problem is actually collecting enough information to analyze in a useful way. DNS servers, even top level domain (TLD) servers collect a huge amount of data—much more than most engineers might suspect. In fact, the DNS system is one of those vast sources of information Continue reading
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