Thanks Brandon!
On 5/25/17, 1:12 PM, "Raymundo Panduro" <[email protected]> wrote:
Yes, now is working! Thx
On Thu, May 25, 2017 at 1:11 PM, Edwards, Brandon <[email protected]
> wrote:
> Ok this should work:
> https://www.dropbox.com/s/qezo46152u65tpu/suspiciousConnectsDescription_
> 5_22_2017.pdf?dl=0
>
> Can someone confirm? THX
>
> On 5/25/17, 11:08 AM, "Segerlind, Nathan L" <[email protected]>
> wrote:
>
> The link does not work for me.... I keep getting a message that reads
> "folder Spot does not exist"
>
> -----Original Message-----
> From: Edwards, Brandon [mailto:[email protected]]
> Sent: Thursday, May 25, 2017 10:57 AM
> To: [email protected]
> Subject: Re: Spot Suspicious Connects Description and questions
> related to 'feedback' from UI to ML
>
> Oh I had the scoring values reversed. Thanks Alan!
>
> Also here is a link to the file on Dropbox:
> https://www.dropbox.com/home/Spot?preview=
> suspiciousConnectsDescription_5_22_2017.pdf
>
> Brandon
>
> On 5/25/17, 10:50 AM, "Alan Ross" <[email protected]> wrote:
>
> On the scoring piece. 1 has traditionally been "Bad" and 3 has
> been
> "Benign". Are we changing that?
>
> Alan
>
> On Thu, May 25, 2017 at 10:49 AM, Alan Ross <[email protected]>
> wrote:
>
> > I don't believe this list permits attachments Brandon. Perhaps
> post it to
> > google docs and send out a link?
> >
> > Alan
> >
> > On Thu, May 25, 2017 at 10:27 AM, Edwards, Brandon <
> > [email protected]> wrote:
> >
> >> Hi all,
> >>
> >>
> >>
> >> I am attaching the document that describes how Spot uses LDA in
> order to
> >> perform anomaly detection on network events. I have also
> received multiple
> >> questions related to how the ‘user scoring’ (‘feedback’) of
> particular
> >> items in the suspicious connects report (in the UI layer) is
> used in ML. We
> >> have not provided much detail on this functionality in the
> attached
> >> document. I thought I’d put an explanation out there and we can
> discuss
> >> questions related to my explanation and discuss what additional
> info should
> >> be included in the attached document.
> >>
> >>
> >>
> >> The Spot team feels that changes are needed to this ‘feedback’
> >> functionality, and see these changes as happening concurrent
> with
> >> improvements to the ability for context from an LDA model
> trained on a
> >> given batch of data to be carried forward to the next training
> run (or even
> >> training in a streaming use case). The value of ‘feedback’ is
> dependent on
> >> the quality of the model-context we can carry over.
> >>
> >>
> >>
> >> The idea for feedback is as follows. The items that are scored
> with a 1
> >> (i.e. the user identifies the item as benign and so does not
> want to see it
> >> in the suspicious connects report anymore) will be used for
> letting the
> >> machine learning component know that such an entry should not
> be considered
> >> as suspicious anymore. Currently this is done by injecting
> artificial log
> >> entries into the next batch of data so that LDA sees many such
> entries and
> >> therefore no longer sees them as anomalies.
> >>
> >>
> >>
> >> We have ideas for other ways to allow this functionality - for
> example we
> >> could filter entries matching the identified pattern from the
> next batch
> >> run BEFORE ML runs on the batch. For items that are scored by
> the user in
> >> the UI as ‘3’ (for example the user sees an ip as so suspicious
> that we
> >> want to see all future log entries associated to that ip) we
> could filter
> >> future items matching such a pattern in order to skip ML and
> instead report
> >> them in a separate pane of the UI or insert them to the top of
> the most
> >> suspicious events.
> >>
> >>
> >>
> >> Comments, Questions?
> >>
> >> Brandon
> >>
> >
> >
>
>
>
>
>
