ОПРЕДЕЛЯНЕ НА ФУКЦИЯТА НА ПРИГОДНОСТ В ГЕНЕТИЧНИЯ АЛГОРИТЪМ ЗА ОТКРИВАНЕ НА ПРОНИКВАНЕ В КОМПЮТЪРНИТЕ МРЕЖИ
FITNESS FUNCTION DEFINITION IN GENETIC ALGORITHM FOR COMPUTER NETWORK INTRUSION DETECTION
Author(s): Andon Lazarov, Petia PetrovaSubject(s): Social Sciences, Communication studies, Theory of Communication
Published by: Бургаски свободен университет
Keywords: Genetic algorithm; Fitness function; network intrusion detection
Summary/Abstract: The present work suggests a thematic survey of Fitness functions’ main definitions used to evaluate of network characteristics and to detect computer network intrusions. Three methods of Fitness function’s calculations are considered and systemized. A genetic algorithm for training and intrusion detection based on R. H. Gong’s method is described. The accent is made on Firas Alabsi’s method to define a Fitness function of network characteristics. Its application is illustrated by experimental simulated data of different network connections, Normal, DoS, R2L, U2R, and Probe
Journal: Компютърни науки и комуникации
- Issue Year: 8/2019
- Issue No: 1
- Page Range: 13-22
- Page Count: 10
- Language: Bulgarian