Adaptive vulnerability detection model for unmanned vehicles drugs based on artificial immune systems

Abstract

The adaptive model and structure of the intrusion detection system (IDS) based on the analysis of traffic in the channel “UMV-dispatch center”, which is based on immunological principles, is proposed. Rules classify objects belonging to several classes at the same time with different degrees of belonging. Recognition of the state of network traffic is carried out in conditions of lack of a priori information about the properties of the intrusion source and the stochastic nature of the recognized events. To increase the level of reliability of intrusion detection in the system, adaptive dynamic adjustment of decision-making rules on classification and operational States of UMV traffic is performed.