Hi Damith,

Do we support these statistics per tenant? So that each tenant can view
these statistics per tenant.

Thanks
*,Sajith Ravindra*
Senior Software Engineer
WSO2 Inc.; http://wso2.com
lean.enterprise.middleware

mobile: +94 77 2273550
blog: http://sajithr.blogspot.com/
<http://lk.linkedin.com/pub/shani-ranasinghe/34/111/ab>

On Mon, Mar 28, 2016 at 4:08 AM, Damith Wickramasinghe <dami...@wso2.com>
wrote:

> Sure.We will schedule.
>
> Regards,
> Damith.
>
> On Mon, Mar 28, 2016 at 4:02 PM, Srinath Perera <srin...@wso2.com> wrote:
>
>> As per our chat, lets schedule a review.
>>
>> --Srinath
>>
>> On Sun, Mar 27, 2016 at 11:19 PM, Damith Wickramasinghe <dami...@wso2.com
>> > wrote:
>>
>>> Hi All,
>>>
>>> When it comes to Security analytics story we have broken it down to
>>> mainly three sections(Can be more in the future). Namely Authentication
>>> Analytics , Authorization Analytics and Audit trail for identity
>>> artifacts.  As for the first phase we are focusing on Authentication
>>> Analytics and Audit trail for identity artifacts.
>>>
>>> Data Summarization
>>>
>>> For Authentication Analytics when a user authenticates we are publishing
>>> related data from IS side for a raw table which will get persisted In DAS.
>>> Then using scheduled spark scripts we are summarizing the data to
>>> yearly,monthly,daily,hourly,minutely and secondly tables. (We may drop the
>>> secondly table since it may contain lot of data and will be not efficient
>>> when carrying out aggregate operations. Also these scheduled spark scripts
>>> will run incrementally without summarizing previous data again.)
>>>
>>> As per the [1] we have following charts.We are only considering login
>>> success and failure scenarios. (As discussed with IS team we dropped logout
>>> success and failure scenarios for now.Since showing those statistics are
>>> not much important.)
>>>
>>>    - overall authentication success and failure count during a time
>>>    range - Area chart
>>>    - per user Authentication success count - horizontal bar chart
>>>    - per user Authentication failure count - horizontal bar chart
>>>    - per role Authentication success count - horizontal bar chart
>>>    - per role Authentication failure count - horizontal bar chart
>>>
>>>  etc. As above there are charts for service provider,identity
>>> provider,region and for ip ranges as well.
>>>
>>> Above Area chart for overall authentication success and failure count
>>> can be further drilled down as user clicks on horizontal bar charts(per
>>> user,per role etc). To cater this we have a one table structure with
>>> columns (if we take monthly table) Per month -> Per user -> Per roles ->
>>> Per serviceProvider -> Per identityProvider -> Per region -> Per Ip ->
>>> authSuccessCount and authFailureCount. Ill call this TABLE1.
>>>
>>> Please note in above table we are keeping the roles as comma separated
>>> values. so when a role is clicked we can identify authSuccess and
>>> authFailure count using DAS score function[2]. We discussed on getting this
>>> comma separated roles per event from IS directly since it will make things
>>> easier when it comes to summarization logic.
>>>
>>> For all other horizontal bar charts except role table , we are following
>>> below table structure.
>>>
>>> (If we take monthly table for user) Per month -> Per user
>>> ->authSuccessCount and authFailureCount . Ill call this TABLE2.
>>>
>>> Its true that these information can also be achieved from TABLE1. But
>>> since it has multi level grouped data, data aggregation will take more
>>> time. So having on level grouping will allow less records to be aggregated.
>>>
>>> For the role table we need a row for each role with corresponding
>>> authSuccessCount and authFailureCount. But as mentioned above since we are
>>> sending roles as comma separated values we do not have a efficient way to
>>> separate each role and construct the table. So we thought of getting the
>>> data as duplicated events(per user will have multiple roles so a event will
>>> be duplicated because of the role) from IS side and do the summarization.
>>>
>>> (If we take monthly table per role) Per Role -> Per User -> Per Service
>>> provider -> Per identity Provider -> Per region -> Per IP ->
>>> authSuccessCount and authFailureCount. Ill call this TABLE3.We have to go
>>> in to these grouping since we need drilled down info of roles per user, per
>>> service provider etc.
>>>
>>> So when it comes to user interactions , as per[1] he can click on per
>>> user login auth success table. According to the clicked user above Area
>>> chart, and all other horizontal bar charts should be changed for that user.
>>> So if I take service provider auth success and failure charts they first
>>> will (Before user click) will generate the chart from TABLE2 and (after
>>> user clicked) will generate the data from TABLE1 which is service providers
>>> for that username for the given time range.
>>>
>>> But for role since all informations exist in TABLE3 we can retrieve
>>> roles per specific user from it.
>>>
>>> Above is the basic table structure and there will be 30 table for now.
>>>
>>> Any suggestions and thoughts are highly appreciated.
>>>
>>> [1]
>>> https://docs.google.com/document/d/1gJUqkUE3oyxguipr9nAzM31TlB7lcmSH2ezYOM-7KIA/edit
>>> [2]
>>> https://docs.wso2.com/display/DAS301/Drilling+Down+Through+Categories+via+JS+API
>>>
>>> Regards,
>>> Damith.
>>>
>>> --
>>> Software Engineer
>>> WSO2 Inc.; http://wso2.com
>>> <http://www.google.com/url?q=http%3A%2F%2Fwso2.com&sa=D&sntz=1&usg=AFQjCNEZvyc0uMD1HhBaEGCBxs6e9fBObg>
>>> lean.enterprise.middleware
>>>
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>>>
>>>
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>>>
>>
>>
>> --
>> ============================
>> Srinath Perera, Ph.D.
>>    http://people.apache.org/~hemapani/
>>    http://srinathsview.blogspot.com/
>>
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>>
>
>
> --
> Software Engineer
> WSO2 Inc.; http://wso2.com
> <http://www.google.com/url?q=http%3A%2F%2Fwso2.com&sa=D&sntz=1&usg=AFQjCNEZvyc0uMD1HhBaEGCBxs6e9fBObg>
> lean.enterprise.middleware
>
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>
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