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Posted to dev@metron.apache.org by Franck Vervial <ve...@gmail.com> on 2016/08/05 00:27:15 UTC
[DISCUSS] Machine Learning
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
Re: [DISCUSS] Machine Learning
Posted by Jeevan Kumar <je...@gmail.com>.
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 <ve...@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 <ki...@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 <ve...@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
> > >
> >
>
Re: [DISCUSS] Machine Learning
Posted by Franck Vervial <ve...@gmail.com>.
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 <ki...@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 <ve...@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
> >
>
Re: [DISCUSS] Machine Learning
Posted by Egon Kidmose <ki...@gmail.com>.
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 <ve...@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
>