In article presents a method of intrusion detection in mobile radio networks class MANET based on fuzzy knowledge base based on neuro - fuzzy model ANFIS. Development method was in ANFIS model modified for use in its mobile radio networks class MANET, conduct self-knowledge base intrusion detection techniques, improved learning opportunities and compete neuronal network, calculating potential neuronal network, the use of neuro - fuzzy algorithm. The said development helped improve the speed of learning neuro-fuzzy network, improve the accuracy and speed of intrusion detection in mobile radio networks, and apply network with fuzzy network activity. Defined task for future studies that will assess effectiveness method of intrusion detection methods in the MR class MANET.
mobile network, MANET, mobile radio network security, intrusion detection methods, ANFIS
"Metod vyiavlennia vtorhnen v mobilnykh radiomerezhakh klasu MANET na osnovi nechitkoi bazy znan" [Method of intrusion detection in mobile radio networks on the basis of fuzzy knowledge bases],
Science and Technology of the Air Force of Ukraine,