ABSTRACT
This chapter presents research aimed at establishing rules to minimize the probability of recognizing medium-class unmanned aerial vehicles. The fundamental concept involves employing a radar system and video cameras for recognition purposes. The overarching objective is to develop an adaptive mechanism capable of deducing and optimizing drone movement parameters, given the knowledge of observer types and their locations within the swarm. Acknowledging the distinct characteristics of each recognition type, the author anticipates that the requirements may be conflicting. Consequently, a multi-criteria analysis becomes imperative to address this potential contradiction.
