Résumé:
—Intrusion Detection System is one of the most
implementing security solutions in network environments to
detect anomalies. The major challenge of this kind of this system
is to maximize the detection and accuracy rates and minimize
false positive.
The well-known genetic algorithm is based on gene reproduction
and mutation. Recent research has pointed out that additional
information embedded alongside individual chromosomes
transmits data into future offspring. This additional transmission
of information into child generations outside DNA is known as
epigenetics. Additional information is considered as the
epigenetic factor that helps us to define randomness crossover
and mutation used in classical genetic algorithm.
This paper presents a state of art where we try to explore
epigenetic algorithms within the context of Intrusion Detection
System. We discuss the methodology used in genetic algorithm
and how our approach can perform detection of intrusions for an
efficient security.
