Formation of wireless sensor network protection system parameters for intrusion detection in the form of false event flows

Abstract

Wireless sensor networks with stationary and mobile sensor nodes are studied. For mobile nodes, in addition to sensor nodes, the influence of node movement speed on the duration of the network life cycle for mobile AdHoc networks was also studied. When studying the impact of erroneous events on the sensor field, it was established that providing sensor nodes with mobility allows increasing the life cycle of the network. A model of intrusion into a wireless sensor network with the aim of shortening its life cycle has been developed, which differs from known models in that false event streams are used to achieve this goal. The model is developed based on typical geometric, quantitative and energy parameters of wireless sensor networks using a basic clustering algorithm for a homogeneous mobile sensor network under conditions of Poisson network intrusion and deterministic error event flows. It is established that the duration of the life cycle of a wireless sensor network can significantly depend on the type of the flow of erroneous events and, other things being equal, under the influence of a deterministic flow can be almost half as long as under the influence of a flow of erroneous events. the impact of the flow of false events. the Poisson flow effect. Detection of false events in a wireless sensor network can be considered as a target tracking task, and to detect false events with a given probability, taking into account the limited capabilities of sensor nodes, it is advisable to use the architectural characteristics of the network, the distribution of the density of nodes on the sensor field.