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

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
>> _______________________________________________
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>> 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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>>
> --
> Some say he really tries to learn efficiently.
>
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