Re: [Idnet] Intelligence-Defined Network Architecture and Call for Interests

David Meyer <dmm@1-4-5.net> Tue, 28 March 2017 18:29 UTC

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From: David Meyer <dmm@1-4-5.net>
Date: Tue, 28 Mar 2017 11:28:46 -0700
Message-ID: <CAHiKxWgqggSe1FmBjJef3Z1F9GSe7eY=WHin4WxOBFSLjfXGxQ@mail.gmail.com>
To: Brian Njenga <iambrianmuhia@gmail.com>
Cc: Oscar Mauricio Caicedo Rendon <omcaicedo@unicauca.edu.co>, Sheng Jiang <jiangsheng@huawei.com>, "idnet@ietf.org" <idnet@ietf.org>
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Subject: Re: [Idnet] Intelligence-Defined Network Architecture and Call for Interests
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Brian,

Fortunately for us, there is tons of tutorial material (and code) around
the network. Distill is a cool idea, but there are many more.

Dave


On Tue, Mar 28, 2017 at 11:26 AM, Brian Njenga <iambrianmuhia@gmail.com>
wrote:

> Thanks, Dave. I'll check them out.
>
> Something I currently think is very cool is the Distill journal, at
> https://distill.pub, edited by Shan Carter and Chris Olah.
>
> I would love to see more ML tutorials​ and lessons written in that style.
> They're​accepting submissions for tutorials, I think, so if any ML expert
> here would like to explain any technique in an explorable manner, please
> reach out to them.
>
> On Tue, 28 Mar 2017, 21:17 David Meyer, <dmm@1-4-5.net> wrote:
>
>> Hey Brian,
>>
>> We are working on anomaly detection technologies to detect things like
>> DDOS attacks; we're about to publish some results and will let you know
>> when that is ready. In the mean time, you might want to look at attacks
>> against ML itself, see [0], [1], and [2].  The bottom line here is that
>> even simple linear models are susceptible to adversarial attacks, so things
>> like the autoencoders we used to do binary classification (e.g., anomaly
>> detection) are susceptible; see slides 16+ of [3].
>>
>> Dave
>>
>> [0] https://arxiv.org/pdf/1312.6199.pdf
>> [1] https://arxiv.org/pdf/1412.6572.pdf
>> [2] https://arxiv.org/pdf/1602.02697.pdf
>> [3] http://www.1-4-5.net/~dmm/ml/talks/2016/cor_ml4networking.pdf
>>
>> On Tue, Mar 28, 2017 at 11:06 AM, Brian Njenga <iambrianmuhia@gmail.com>
>> wrote:
>>
>> I'm glad that the discussions​ on how to make AI/ML useful in the design
>> of the internet's architecture are continuing, albeit under a different
>> name. I'd like to participate remotely as well.
>>
>> I have a question that someone more thoughtful​ than I could answer: Are
>> there research questions on how to anticipate network-threatening DDOS
>> attacks, such as those coming from the Mirai botnet family, using ML? Even
>> going as far as designing and standardising an efficient, secure network
>> protocol for IoT devices. This is a complicated issue, which involves
>> emerging markets, so I'm interested in useful ideas from any angle.
>>
>> Thanks, and I'm glad to meet you all.
>>
>> Best regards,
>> Brian Muhia.
>>
>> On Tue, 28 Mar 2017, 20:02 Oscar Mauricio Caicedo Rendon, <
>> omcaicedo@unicauca.edu.co> wrote:
>>
>> Hi, all,
>>
>> If there is a meeting, I would like to participate remotely.
>>
>> Best regards,
>>
>> Oscar
>>
>> On Tue, Mar 28, 2017 at 11:29 AM, Sheng Jiang <jiangsheng@huawei.com>
>> wrote:
>>
>> Hi, all,
>>
>> Although there are many understanding for Intelligence-Defined Network,
>> we are actually using this IDN as a term reference to the SDN-beyond
>> architecture that we presented in IETF97, see the below link. A reference
>> model is presented in page 3, while potential standardization works is
>> presented in page 9.
>>
>> https://www.ietf.org/proceedings/97/slides/slides-
>> 97-nmlrg-intelligence-defined-network-01.pdf
>>
>> Although it might be a little bit too early for AI/ML in network giving
>> the recent story of the concluded proposed NMLRG, we still would like to
>> call for interests in IDN. Anybody (on site in Chicago this week) are
>> interested in this or even wider topics regarding to AI/ML in network,
>> please contact me on jiangsheng@huawei.com . Then we may have an
>> informal meeting to discuss some common interests and potential future
>> activities (not any activities in IETF, but also other STO or experimental
>> trails, etc.)  on Thursday morning.
>>
>> FYI, we have already working on a Work Item, called IDN in the ETSI NGP
>> (Next Generation Protocol) ISG, links below.
>>
>> https://portal.etsi.org/tb.aspx?tbid=844&SubTB=844
>> https://portal.etsi.org/webapp/WorkProgram/Report_
>> WorkItem.asp?WKI_ID=51011
>>
>> Meanwhile, please do use this mail list as a forum to discuss any topics
>> that may applying AI/ML into network area.
>>
>> Best regards,
>>
>> Sheng
>> _______________________________________________
>> IDNET mailing list
>> IDNET@ietf.org
>> https://www.ietf.org/mailman/listinfo/idnet
>>
>>
>>
>>
>> --
>> *Oscar Mauricio Caicedo Rendón*
>> *PhD Computer Science - Federal University of Rio Grande do Sul*
>> *Full Profesor - University of Cauca*
>>
>> ------------------------------
>> *Universidad del Cauca: Comprometidos con la calidad.*
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>> https://www.ietf.org/mailman/listinfo/idnet
>>
>> --
>> Some say he really tries to learn efficiently.
>>
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>>
>>
>> --
> Some say he really tries to learn efficiently.
>