In the article presented methodology of audit intrusions in mobile radio networks class MANET. Development of methodology was based on the algorithm of actions, that includes for itself the stages and steps of realization of analysis, monitoring of data and testing of mobile radio network. It was offered approach realization of audit, is base on that the use of neural network with possibility of realization of self-training, to work with fuzzy network activity, in the conditions of the real-time and parameters that a mobile radio network is characterized mode. Development of methodology realization of audit Intrusion in a mobile radio network allows promoting efficiency grant of administrative decisions, simplifying the process realization of analysis, monitoring and testing of network, and also serving as basis for software product development for realization audit strength of mobile radio network security. Determined direction of the work to build a fuzzy knowledge base that would improve audit network and enhance the security level of the mobile radio network.
mobile radio network, MANET, audit intrusions