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Epigenetic algorithm for performing intrusion detection system

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dc.contributor.author Mehdi Ezzarii
dc.contributor.author Hamid Elghazi
dc.contributor.author Hassan El Ghazi
dc.contributor.author Tayeb Sadiki
dc.date.accessioned 2019-06-02T12:07:47Z
dc.date.available 2019-06-02T12:07:47Z
dc.date.issued 2016-10-17
dc.identifier.uri http://e-biblio.univ-mosta.dz/handle/123456789/10613
dc.description.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. en_US
dc.publisher 2016 International Conference on Advanced Communication Systems and Information Security (ACOSIS) en_US
dc.subject Epigenetic algorithm en_US
dc.subject genetic algorithm en_US
dc.subject intrusion detection en_US
dc.subject security en_US
dc.title Epigenetic algorithm for performing intrusion detection system en_US
dc.type Article en_US


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