Re: [Dev] deep neural network for detect frauds

[Damith Wickramasinghe]

Hi Tharindu,

Related mail is for the analytics we did for IS authentication related
scenarios. Relevant instrumentations are done in [1] in IS 5.2.0 to publish
data to DAS side. You can check with pulashi/hasintha to get more insights
of what has been done on those. Ill attach the basic UI design[2] we have
for authentication ans session related scenarios. Document need to be
updated a bit. But it has the basic design.

[1] https://github.com/wso2/product-is/tree/release-productis-5.2.0
[2]
https://docs.google.com/document/d/1h47OLzBiHYy-kk12VkmRnoetbG37Dx4LcHa3CnTzDTE/edit#

Regards,
Damith.


On Mon, Jun 27, 2016 at 6:56 PM, Tharindu Edirisinghe 
wrote:

> Hi Nirmal,
>
> The data is not in hand right now.. but we can assume we have data.
>
> Currently in Identity Server, it does not publish security related events
> such as login, logout, password change etc.
>
> What Asantha would do is write a Listener ( i.e extend
> AbstractUserOperationEventListener) and for each user operation it would
> publish an event.
>
> Once he does it, we can perform some user operations with a load test and
> gather data (get the events generated).
>
> Based on this data he needs to carry out the analysis.
>
> Thanks,
> TharinduE
>
> On Mon, Jun 27, 2016 at 6:22 PM, Nirmal Fernando  wrote:
>
>> Seshika implemented a fraud detection toolbox using Markov chain models
>> (using real-time siddhi queries) [1]. API-M Analytics product uses Markov
>> chain model to detect abnormal resource access patterns.
>>
>> In WSO2 ML, we have implemented a clustering based anomaly detection
>> algorithm [2].
>>
>> [1]
>> http://wso2.com/analytics/solutions/fraud-and-anomaly-detection-solution/
>> [2]
>> https://docs.wso2.com/display/ML110/Generating+a+Model+Using+the+K+Means+Anomaly+Detection+Algorithm+with+Labeled+Data
>>
>>
>> On Mon, Jun 27, 2016 at 5:45 PM, Tharindu Edirisinghe > > wrote:
>>
>>> +DamithN, Seshika, Nirmal
>>>
>>>
>>> @DamithN - I found the mail thread [1] bit similar. Are there any other
>>> reference to the work you've done for that ?
>>>
>>> @Seshika, Nirmal - Do you guys have any input for the work Asantha is
>>> trying to do ? He is a GSoC student that I mentor this year.
>>>
>>> Appreciate if you can help him out with this.
>>>
>>>
>>> [1] "[Architecture] Security Authentication Analytics"
>>>
>>> Thanks,
>>> TharinduE
>>>
>>> On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina <
>>> asanthathil...@gmail.com> wrote:
>>>
 Hi all,

 i am a GSOC student who doing the *project 21 : NoSQL User Store
 Development for Identity Server* and i am developing a *convolutional
 neural network* to detect *frauds* using deeplearning4j[1] for my
 research, i have done some case studies regarding fraud patterns ,i have
 mainly focused on frauds that can be occur in online money transactions and
 in login authentications i have refer some research papers[2],[3] and  a
 white paper[4] regrading those possible fraud patterns
 I choosed convolutional neural network to develop my model but i am
 little confused about how could include those fraud patterns in to my model
 in a way it can detect a fraud in real time

>>>
>> Once you have a built model, you could write a siddhi extension to
>> perform predictions (i.e. detect frauds in this case).
>>
>> Question: do we have data in hand? or are you trying to build a model on
>> the fly?
>>
>> and also is convolutional network is a best way to achieve my task or is
 there any better method than this?,i would be grateful if anyone can guide
 me to achieve this task
 [1]http://deeplearning4j.org/convolutionalnets
 [2]
 http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf
 [3]
 https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks
 [4]https://neo4j.com/resources/fraud-detection-white-paper/

 Thanks,
 Asantha

>>>
>>>
>>>
>>> --
>>>
>>> Tharindu Edirisinghe
>>> Senior Software Engineer | WSO2 Inc
>>> Platform Security Team
>>> Blog : tharindue.blogspot.com
>>> mobile : +94 775181586
>>>
>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Team Lead - WSO2 Machine Learner
>> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
>
> Tharindu Edirisinghe
> Senior Software Engineer | WSO2 Inc
> Platform Security Team
> Blog : tharindue.blogspot.com
> mobile : +94 775181586
>



-- 
Software Engineer
WSO2 Inc.; http://wso2.com

lean.enterprise.middleware

mobile: *+94728671315*
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Re: [Dev] deep neural network for detect frauds

[Asantha Thilina]

Hi Nirmal,

As tharindu mentioned i would be planning to gather user identity data
through the AbstractEventListener then those data will be used to train my
model

Thanks,
Asantha

On Mon, Jun 27, 2016 at 9:26 AM, Tharindu Edirisinghe 
wrote:

> Hi Nirmal,
>
> The data is not in hand right now.. but we can assume we have data.
>
> Currently in Identity Server, it does not publish security related events
> such as login, logout, password change etc.
>
> What Asantha would do is write a Listener ( i.e extend
> AbstractUserOperationEventListener) and for each user operation it would
> publish an event.
>
> Once he does it, we can perform some user operations with a load test and
> gather data (get the events generated).
>
> Based on this data he needs to carry out the analysis.
>
> Thanks,
> TharinduE
>
> On Mon, Jun 27, 2016 at 6:22 PM, Nirmal Fernando  wrote:
>
>> Seshika implemented a fraud detection toolbox using Markov chain models
>> (using real-time siddhi queries) [1]. API-M Analytics product uses Markov
>> chain model to detect abnormal resource access patterns.
>>
>> In WSO2 ML, we have implemented a clustering based anomaly detection
>> algorithm [2].
>>
>> [1]
>> http://wso2.com/analytics/solutions/fraud-and-anomaly-detection-solution/
>> [2]
>> https://docs.wso2.com/display/ML110/Generating+a+Model+Using+the+K+Means+Anomaly+Detection+Algorithm+with+Labeled+Data
>>
>>
>> On Mon, Jun 27, 2016 at 5:45 PM, Tharindu Edirisinghe > > wrote:
>>
>>> +DamithN, Seshika, Nirmal
>>>
>>>
>>> @DamithN - I found the mail thread [1] bit similar. Are there any other
>>> reference to the work you've done for that ?
>>>
>>> @Seshika, Nirmal - Do you guys have any input for the work Asantha is
>>> trying to do ? He is a GSoC student that I mentor this year.
>>>
>>> Appreciate if you can help him out with this.
>>>
>>>
>>> [1] "[Architecture] Security Authentication Analytics"
>>>
>>> Thanks,
>>> TharinduE
>>>
>>> On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina <
>>> asanthathil...@gmail.com> wrote:
>>>
 Hi all,

 i am a GSOC student who doing the *project 21 : NoSQL User Store
 Development for Identity Server* and i am developing a *convolutional
 neural network* to detect *frauds* using deeplearning4j[1] for my
 research, i have done some case studies regarding fraud patterns ,i have
 mainly focused on frauds that can be occur in online money transactions and
 in login authentications i have refer some research papers[2],[3] and  a
 white paper[4] regrading those possible fraud patterns
 I choosed convolutional neural network to develop my model but i am
 little confused about how could include those fraud patterns in to my model
 in a way it can detect a fraud in real time

>>>
>> Once you have a built model, you could write a siddhi extension to
>> perform predictions (i.e. detect frauds in this case).
>>
>> Question: do we have data in hand? or are you trying to build a model on
>> the fly?
>>
>> and also is convolutional network is a best way to achieve my task or is
 there any better method than this?,i would be grateful if anyone can guide
 me to achieve this task
 [1]http://deeplearning4j.org/convolutionalnets
 [2]
 http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf
 [3]
 https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks
 [4]https://neo4j.com/resources/fraud-detection-white-paper/

 Thanks,
 Asantha

>>>
>>>
>>>
>>> --
>>>
>>> Tharindu Edirisinghe
>>> Senior Software Engineer | WSO2 Inc
>>> Platform Security Team
>>> Blog : tharindue.blogspot.com
>>> mobile : +94 775181586
>>>
>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Team Lead - WSO2 Machine Learner
>> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
>
> Tharindu Edirisinghe
> Senior Software Engineer | WSO2 Inc
> Platform Security Team
> Blog : tharindue.blogspot.com
> mobile : +94 775181586
>
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Re: [Dev] deep neural network for detect frauds

[Tharindu Edirisinghe]

Hi Nirmal,

The data is not in hand right now.. but we can assume we have data.

Currently in Identity Server, it does not publish security related events
such as login, logout, password change etc.

What Asantha would do is write a Listener ( i.e extend
AbstractUserOperationEventListener) and for each user operation it would
publish an event.

Once he does it, we can perform some user operations with a load test and
gather data (get the events generated).

Based on this data he needs to carry out the analysis.

Thanks,
TharinduE

On Mon, Jun 27, 2016 at 6:22 PM, Nirmal Fernando  wrote:

> Seshika implemented a fraud detection toolbox using Markov chain models
> (using real-time siddhi queries) [1]. API-M Analytics product uses Markov
> chain model to detect abnormal resource access patterns.
>
> In WSO2 ML, we have implemented a clustering based anomaly detection
> algorithm [2].
>
> [1]
> http://wso2.com/analytics/solutions/fraud-and-anomaly-detection-solution/
> [2]
> https://docs.wso2.com/display/ML110/Generating+a+Model+Using+the+K+Means+Anomaly+Detection+Algorithm+with+Labeled+Data
>
>
> On Mon, Jun 27, 2016 at 5:45 PM, Tharindu Edirisinghe 
> wrote:
>
>> +DamithN, Seshika, Nirmal
>>
>>
>> @DamithN - I found the mail thread [1] bit similar. Are there any other
>> reference to the work you've done for that ?
>>
>> @Seshika, Nirmal - Do you guys have any input for the work Asantha is
>> trying to do ? He is a GSoC student that I mentor this year.
>>
>> Appreciate if you can help him out with this.
>>
>>
>> [1] "[Architecture] Security Authentication Analytics"
>>
>> Thanks,
>> TharinduE
>>
>> On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina <
>> asanthathil...@gmail.com> wrote:
>>
>>> Hi all,
>>>
>>> i am a GSOC student who doing the *project 21 : NoSQL User Store
>>> Development for Identity Server* and i am developing a *convolutional
>>> neural network* to detect *frauds* using deeplearning4j[1] for my
>>> research, i have done some case studies regarding fraud patterns ,i have
>>> mainly focused on frauds that can be occur in online money transactions and
>>> in login authentications i have refer some research papers[2],[3] and  a
>>> white paper[4] regrading those possible fraud patterns
>>> I choosed convolutional neural network to develop my model but i am
>>> little confused about how could include those fraud patterns in to my model
>>> in a way it can detect a fraud in real time
>>>
>>
> Once you have a built model, you could write a siddhi extension to perform
> predictions (i.e. detect frauds in this case).
>
> Question: do we have data in hand? or are you trying to build a model on
> the fly?
>
> and also is convolutional network is a best way to achieve my task or is
>>> there any better method than this?,i would be grateful if anyone can guide
>>> me to achieve this task
>>> [1]http://deeplearning4j.org/convolutionalnets
>>> [2]http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf
>>> [3]
>>> https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks
>>> [4]https://neo4j.com/resources/fraud-detection-white-paper/
>>>
>>> Thanks,
>>> Asantha
>>>
>>
>>
>>
>> --
>>
>> Tharindu Edirisinghe
>> Senior Software Engineer | WSO2 Inc
>> Platform Security Team
>> Blog : tharindue.blogspot.com
>> mobile : +94 775181586
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Team Lead - WSO2 Machine Learner
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 

Tharindu Edirisinghe
Senior Software Engineer | WSO2 Inc
Platform Security Team
Blog : tharindue.blogspot.com
mobile : +94 775181586
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Re: [Dev] deep neural network for detect frauds

[Nirmal Fernando]

Seshika implemented a fraud detection toolbox using Markov chain models
(using real-time siddhi queries) [1]. API-M Analytics product uses Markov
chain model to detect abnormal resource access patterns.

In WSO2 ML, we have implemented a clustering based anomaly detection
algorithm [2].

[1]
http://wso2.com/analytics/solutions/fraud-and-anomaly-detection-solution/
[2]
https://docs.wso2.com/display/ML110/Generating+a+Model+Using+the+K+Means+Anomaly+Detection+Algorithm+with+Labeled+Data


On Mon, Jun 27, 2016 at 5:45 PM, Tharindu Edirisinghe 
wrote:

> +DamithN, Seshika, Nirmal
>
>
> @DamithN - I found the mail thread [1] bit similar. Are there any other
> reference to the work you've done for that ?
>
> @Seshika, Nirmal - Do you guys have any input for the work Asantha is
> trying to do ? He is a GSoC student that I mentor this year.
>
> Appreciate if you can help him out with this.
>
>
> [1] "[Architecture] Security Authentication Analytics"
>
> Thanks,
> TharinduE
>
> On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina  > wrote:
>
>> Hi all,
>>
>> i am a GSOC student who doing the *project 21 : NoSQL User Store
>> Development for Identity Server* and i am developing a *convolutional
>> neural network* to detect *frauds* using deeplearning4j[1] for my
>> research, i have done some case studies regarding fraud patterns ,i have
>> mainly focused on frauds that can be occur in online money transactions and
>> in login authentications i have refer some research papers[2],[3] and  a
>> white paper[4] regrading those possible fraud patterns
>> I choosed convolutional neural network to develop my model but i am
>> little confused about how could include those fraud patterns in to my model
>> in a way it can detect a fraud in real time
>>
>
Once you have a built model, you could write a siddhi extension to perform
predictions (i.e. detect frauds in this case).

Question: do we have data in hand? or are you trying to build a model on
the fly?

and also is convolutional network is a best way to achieve my task or is
>> there any better method than this?,i would be grateful if anyone can guide
>> me to achieve this task
>> [1]http://deeplearning4j.org/convolutionalnets
>> [2]http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf
>> [3]
>> https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks
>> [4]https://neo4j.com/resources/fraud-detection-white-paper/
>>
>> Thanks,
>> Asantha
>>
>
>
>
> --
>
> Tharindu Edirisinghe
> Senior Software Engineer | WSO2 Inc
> Platform Security Team
> Blog : tharindue.blogspot.com
> mobile : +94 775181586
>



-- 

Thanks & regards,
Nirmal

Team Lead - WSO2 Machine Learner
Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] deep neural network for detect frauds

[Tharindu Edirisinghe]

+DamithN, Seshika, Nirmal


@DamithN - I found the mail thread [1] bit similar. Are there any other
reference to the work you've done for that ?

@Seshika, Nirmal - Do you guys have any input for the work Asantha is
trying to do ? He is a GSoC student that I mentor this year.

Appreciate if you can help him out with this.


[1] "[Architecture] Security Authentication Analytics"

Thanks,
TharinduE

On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina 
wrote:

> Hi all,
>
> i am a GSOC student who doing the *project 21 : NoSQL User Store
> Development for Identity Server* and i am developing a *convolutional
> neural network* to detect *frauds* using deeplearning4j[1] for my
> research, i have done some case studies regarding fraud patterns ,i have
> mainly focused on frauds that can be occur in online money transactions and
> in login authentications i have refer some research papers[2],[3] and  a
> white paper[4] regrading those possible fraud patterns
> I choosed convolutional neural network to develop my model but i am little
> confused about how could include those fraud patterns in to my model in a
> way it can detect a fraud in real time and also is convolutional network is
> a best way to achieve my task or is there any better method than this?,i
> would be grateful if anyone can guide me to achieve this task
> [1]http://deeplearning4j.org/convolutionalnets
> [2]http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf
> [3]
> https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks
> [4]https://neo4j.com/resources/fraud-detection-white-paper/
>
> Thanks,
> Asantha
>



-- 

Tharindu Edirisinghe
Senior Software Engineer | WSO2 Inc
Platform Security Team
Blog : tharindue.blogspot.com
mobile : +94 775181586
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