Re: [Nmlrg] Machine Learning in network - solicitation for use cases

[Jérôme François <[e-mail]>]

I have experienced using ML for device fingerprinting meaning that by
observing traffic pattern (message sequence and timing information) it
is possible to automatically retrieve the precise types of device (name,
version, series).
It is particularily interesting to make network inventory as most of
cases there are some unknwon devices on the network (user or old ones)
and finally potentially identifying vulnerable devices from a security
point of view.

jerome

Le 31/08/2015 05:15, Sheng Jiang a écrit :
> Hi, all,
>
> Thanks for subscribe to NMLRG (Network Machine Learning) mail list. As we know, there are already many ongoing researches for Machine Learning in network, in many areas. But up to now, there are few matured applications yet. So it is the time for a Research Group to work on this future-oriented technology.
>
> The first step would be to collect possible use cases: where the machine learning mechanism could be used in networks. The use cases does not need to be mature, but should have potential.
>
> Note that this topic is rapidly moving from academic research into practical application. Therefore, use cases from university environments, industrial research and development organizations are all welcome.
>
> Best regards,
>
> Sheng