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From Jeevan Kumar <jeevankuma...@gmail.com>
Subject Re: [DISCUSS] Machine Learning
Date Mon, 08 Aug 2016 04:21:17 GMT
Hi Franck,

I work on Machine Learning. Please let me know how I can help.

Thanks,
Jeevan

On Sat, Aug 6, 2016 at 9:14 AM, Franck Vervial <vervial@gmail.com> wrote:

> Hi Egon,
>
> Yes that's going in the same direction. I just wanted to share this
> interesting paper which can help us for implementing.
> I am currently studying Machine Learning for this purpose and hope to be
> able to contribute soon :)
>
> Best regards
> On Fri, 5 Aug 2016 at 9:07 PM, Egon Kidmose <kidmose@gmail.com> wrote:
>
> > Hey Franck,
> >
> > Nice reads, thanks.
> >
> > The topic has been up before:
> >
> > https://mail-archives.apache.org/mod_mbox/incubator-metron-
> dev/201606.mbox/%3C8FE3632E-1B91-4C66-9CE4-578D609768B6%40cisco.com%3E
> > (and as I skimmed it a saw you also were in on that thread...)
> >
> > I had exactly this scenario in mind when I added some of the stories on
> > Yazan Boshmaf's document here: https://goo.gl/QAxiH6
> > Does this cover what you are envisioning?
> >
> >
> >
> >
> > Mvh. / BR
> > Egon Kidmose
> >
> > On Fri, Aug 5, 2016 at 2:27 AM, Franck Vervial <vervial@gmail.com>
> wrote:
> >
> > > Hello,
> > >
> > > An interesting article from MIT:
> > > http://news.mit.edu/2016/ai-system-predicts-85-percent-
> > > cyber-attacks-using-input-human-experts-0418
> > >
> > > AI2 paper: https://people.csail.mit.edu/kalyan/AI2_Paper.pdf
> > >
> > > Combining unsupervised machine learning and supervised machine learning
> > > with the help of human SOC analysts will help to reduce consequently
> the
> > > number of False Positives.
> > >
> > > As Apache Metron is the future of SIEM, I think this is an avenue to
> > > explore.
> > >
> > > Franck
> > >
> >
>

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