MODELING AND ANALYSIS OF SECURE SELF-ORGANIZED WIRELESS SENSOR NETWORKS

Due to the development and improvement of wireless sensor networks and their active implementation in various areas, there is a need to increase the dynamics and variability of such networks. Today, there is a clear trend towards an increase in the level of self-organization and decentralization, due to which networks adapt to user needs and operating conditions. For this purpose, distributed control protocols are created and improved, networks with a cellular topology (mesh networks) are actively introduced. Nodes of such networks are able to move, create new data transmission paths based on the current state of communication channels and device resources, and perform various auxiliary and applied tasks. However, the progress of wireless sensor networks gives rise to additional information security risks associated with the use of self-organization and decentralization features by intruders. Attacks on such infrastructure include manipulation of sensor data, flood attacks that deplete equipment resources, failures in signal transmission routes, and other impacts that are characterized by increased variability and efficiency. This article comprises modeling and studying this type of threats, with special attention paid to simulation analysis methods taking into account the specificity properties of self-organization and decentralization of networks and attacks that exploit them. The proposed approach is built on role-based management in the simulation modeling of self-organizing wireless sensor networks. The results of experiments on a model of a network fragment for a group of connected unmanned aerial vehicles confirmed the validity and practicality of the proposed method.