understanding known/unknown - known/unknown

1. Perspective of
Identifier(ML) and
Certainty
Presence in Data stream
Generally Occurrence
(general Presence Known)
New/Rare Occurrence or non-general
(general Presence Unknown)
Identifi
er/ ML
Model
Known
Pattern/ way
of finding
Known - Known
Our Setup knows the Signature and
general presence is known.
(Exploitation Required)
>> Rule based
>> Supervised Learning
Known - Unknown
Our Setup knows the Signature and
general presence is unknown.
(Exploitation Required)
>> Rule based
>> Supervised Learning
Unknown
Pattern
Unknown - Known
Our Setup doesn’t knows the
Signature and presence is known.
(Exploration Required)
>> Rule Mining
>> Unsupervised Learning
Unknown - Unknown
Our Setup doesn’t knows the Signature and
general presence is unknown.
(Exploration Required)
>> Rule Mining
>> Unsupervised Learning

2. Perspective of
Analyst and Presence
Ability to find using the system/ Setup
Known Unknown
Observ
er/
Analyst
Do we
Know
Know Bots
are present
Known - Known
We know Bot is there and it’s doing
something and we know how to find
it.
>> Rule based
Known - Unknown
We know some bot is there eg. Reports
‘But we are unable to find it with
confidence. Hyperparameter tuning plays a
role here.
Don’t known
Bots are
Present
(Unknown)
Unknown - Known
We don’t know if bots are present
but we are finding it.
>> ML application
Unknown - Unknown
We don’t know if Bots are Present and we
are unable to find these.