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Re: [Nmlrg] Machine Learning in network - solicitation for use cases

"Dacheng Zhang" <dacheng.zdc@alibaba-inc.com> Sun, 06 September 2015 03:46 UTC

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Date: Sun, 06 Sep 2015 11:46:19 +0800
From: "Dacheng Zhang" <dacheng.zdc@alibaba-inc.com>
To: <nmlrg@irtf.org>
Message-ID: <D211D7F2.2651C%dacheng.zdc@alibaba-inc.com>
Thread-Topic: [Nmlrg] Machine Learning in network - solicitation for use cases
References: <D20A251E.25E52%dacheng.zdc@alibaba-inc.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2B192@nkgeml512-mbx.china.huawei.com> <D20B2C03.25EC7%dacheng.zdc@alibaba-inc.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2D062@nkgeml512-mbx.china.huawei.com> <D211D160.26495%dacheng.zdc@alibaba-inc.com>
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Subject: Re: [Nmlrg] Machine Learning in network - solicitation for use cases
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>Some more detailed introduction.
>
>DDoS and APT are very active research topics. Application layer DDoS
>attacks are more difficult to detect than layer 4 DDoS attacks. In many
>cases, the application layer DDoS does not introduce large amount
>traffics.However, by using big data and data mining tech, it is possible
>to find out the clues of such attacks.
>
>There were some related discussions in Dots. If you are interested, I
>could find them out later.
>
>
>>>>>
>>>>>>-----Original Message-----
>>>>>>From: Dacheng Zhang [mailto:dacheng.zdc@alibaba-inc.com]
>>>>>>Sent: Monday, August 31, 2015 3:39 PM
>>>>>>To: Sheng Jiang; nmlrg@irtf.org
>>>>>>Subject: Re: [Nmlrg] Machine Learning in network - solicitation for
>>>>>>use
>>>>>>cases
>>>>>>
>>>>>>I think ML on security would be a good use case. For instance, Huawei
>>>>>>is
>>>>>>proposing an approaching using big data for more accurate DDoS
>>>>>>detection.
>>>>>>
>>>>>>Cheers
>>>>>>
>>>>>>Dacheng
>>>>>>
>>>>>>
>>>>>>
>>>>>>在 15-8-31 上午11:15， "nmlrg on behalf of Sheng Jiang"
>>>>>><nmlrg-bounces@irtf.org on behalf of jiangsheng@huawei.com> 写入:
>>>>>>
>>>>>>>Hi, all,
>>>>>>>
>>>>>>>Thanks for subscribe to NMLRG (Network Machine Learning) mail list.
>>>>>>>As
>>>>>we
>>>>>>>know, there are already many ongoing researches for Machine Learning
>>>in
>>>>>>>network, in many areas. But up to now, there are few matured
>>>>>>>applications
>>>>>>>yet. So it is the time for a Research Group to work on this
>>>>>>>future-oriented technology.
>>>>>>>
>>>>>>>The first step would be to collect possible use cases: where the
>>>>>>>machine
>>>>>>>learning mechanism could be used in networks. The use cases does not
>>>>>need
>>>>>>>to be mature, but should have potential.
>>>>>>>
>>>>>>>Note that this topic is rapidly moving from academic research into
>>>>>>>practical application. Therefore, use cases from university
>>>>>>>environments,
>>>>>>>industrial research and development organizations are all welcome.
>>>>>>>
>>>>>>>Best regards,
>>>>>>>
>>>>>>>Sheng
>>>>>>>_______________________________________________
>>>>>>>nmlrg mailing list
>>>>>>>nmlrg@irtf.org
>>>>>>>https://www.irtf.org/mailman/listinfo/nmlrg
>>>>>>
>>>>
>>>
>>
>

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