Abstract
We describe two extensions to the original DynamiCS:
(1) the deletion of memory detectors that are no longer
valid and (2) the simulation of gene library evolution.
Firstly, DynamiCS is extended in order to decrease the
false positive (FP) error rates caused by memory
detectors. The extended DynamiCS eliminates memory
detectors when they show a poor degree of
self-tolerance to new antigens. This system is tested
to determine whether surviving memory detectors no
longer cause high FP error rates. The results show a
marked decrease in FP errors produced by the system but
an increase in the amount of Co-stimulation required.
The large amount of costimulation can render the system
weak for intrusion detection. The second extension to
DynamiCS is proposed to resolve this problem. It
employs the use of hypermutation to produce the effect
of gene library evolution. This is designed to
fine-tune generated memory detectors so that the system
obtains higher true positive (TP) detection rates
without increasing the amount of co-stimulation. The
new extension is tested to determine whether it gains
high TP detection rates without increasing the amount
of costimulation as the result of gene library
evolution. The test results prove that hyper-mutation
leads the progress of gene library evolution and thus
produces immature detectors that are more tuned to
cover existing non-self antigens.
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