MODELING SIDE-CHANNEL LEAKAGES FOR THE CRYPTOGRAPHIC ALGORITHMS "MAGMA" AND "KUZNACHIK" BASED ON THE ELMO EMULATOR

The article considers algorithms for generating unmanned aerial vehicles motion trajectories duringsearch and rescue and liquidation operations. The methods and algorithms for controlling the motion of aunmanned aerial vehicles group in formation, when deployed in a line, when deployed in a rank, whenturning, in a column are described. Control is carried out using alternative collective adaptation algorithmsbased on the ideas of collective behavior. The operating principles of one adaptation machine areconsidered. The purpose of controlling slave robots is to minimize deviations. To implement the adaptationmechanism, the parameters of the vector are matched with adaptation machines that model the behaviorof adaptation objects in the environment. A structure has been developed for the process of alternativecollective adaptation of parameters that control the motion of a group of unmanned aerial vehicles information. Original rules for controlling parameters have been developed that have a number of advantagesover other methods: complete decentralization of control in combination with dynamic correctionof robot parameters that set the position and orientation of the robot in an absolute coordinate system,and the linear velocity of the robot, respectively. A structure of a maneuver performed by a robot to correctparameter deviations is proposed. Control is performed using an alternative collective adaptation algorithmbased on the ideas of collective behavior of adaptation objects, which allows for efficient processingof emergency situations, such as agent failure, changes in the number of agents due to failure or suddenacquisition of communication with the next agent, as well as in conditions of measurement errors andnoise that satisfy certain restrictions.