Dear Nathan,
Your description of the kind of neural-net scheme needs more detail before I
can give any more particular direction. It leaves a huge amount of
possibilities.
For example, is your neural net similar to hierarchical network of abstract
facts, being build by agents, whereas the agent's
Diederik,
Thanks for your reply - I agree that I left out the details. I'll try to
give a brief description - please bear in mind that this is, as you say,
just vapour, subject to change.
The sort of network I'm looking for is based on the 'fire together, wire
together' principle - it's
On 12/2/06, Matt Mahoney [EMAIL PROTECTED] wrote:
I know a little about network intrusion anomaly detection (it was my
dissertation topic), and yes it is an important lessson.
The reason such anomalies occur is
because when attackers craft exploits, they follow enough of the protocol to
make
in general, how do we indicate the odd one out of that set? Sure it's
obvious that the color is important in this case - but I see two circles
and that the square is more similar to the circle(s) because of the higher
number of sides. Therefor the triangle is the odd one.
What rules does an
Good point. I think it will test the ability of the NN to distinguish
between different types of features. In the example I gave, the fact that
there are three different shapes, not two, or that the shapes are not
divided into three of one kind and one of the other, is pertinent
information, if
