Epigenetic algorithm for performing intrusion detection system

Abstract

—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.