Читать книгу Intelligent Network Management and Control - Badr Benmammar - Страница 19

Genetic algorithms are techniques derived from genetics and natural evolution, which have been used to find approximate solutions to optimization and search problems. The main advantages of genetic algorithms are their flexibility and robustness as global search method. As for drawbacks, they are computationally time-consuming, as they handle several solutions simultaneously. Genetic algorithms have been used in various manners in the field of intrusion detection (Hoque et al. 2012; Aslahi-Shahri et al. 2016; Hamamoto et al. 2018). Hoque et al. (2012) presented an intrusion detection system using a genetic algorithm to effectively detect anomalies in the network. Aslahi-Shahri et al. (2016) proposed a hybrid method that uses support vector machines and genetic algorithms for intrusion detection. The results indicate that this algorithm can reach a 97.3% true positive rate and a 1.7% false positive rate.