What is presented here is a sequence of evolving concepts for network intrusion detection. These concepts start with
neuromorphic structures for XOR-based signature matching and conclude with computationally based network intrusion
detection system with an autonomous structuring algorithm. There is evidence that neuromorphic computation for
network intrusion detection is fractal in nature under certain conditions. Specifically, the neural structure can take fractal
form when simple neural structuring is autonomous. A neural structure is fractal by definition when its fractal
dimension exceeds the synaptic matrix dimension. The authors introduce the use of fractal dimension of the
neuromorphic structure as a factor in the autonomous restructuring feedback loop.