The article discusses some aspects of the design of a decision support system (DSS) module during the analysis of major accidents or emergencies in urban transport in large cities, megalopolises, as well as in Smart City. It is shown that the computational core of such a DSS can be based on the methods of cluster analysis (CA). It is shown that the implementation of even basic spacecraft algorithms in the computational core of the DSSS allows an iterative search for optimal solutions to prevent a large number of emergencies in urban transport by establishing characteristic signs of accidents and emergencies and measures of proximity between two objects. It is shown that such a toolkit as DSS can provide all interested parties with a scientifically grounded classification of multidimensional observations, which summarize the set of selected indicators and make it possible to identify internal connections between emergencies in urban transport. The DSS module for analyzing emergencies in urban transport is described. It has been found that to solve such a problem, it is possible to use the "weighted" Euclidean distance in the computational core of the DSS. It is this parameter that makes it possible to take into account the significance of each characteristic of emergency situations in urban transport, which, in turn, will contribute to obtaining reliable analysis results. It is shown that the spacecraft methods can also be in demand when, along with the analysis of emergency situations in urban transport, problems of designing and reconstructing the configurations of urban street-road networks are solved in parallel. This task, in particular, requires an analysis phase (not least using CA methods) in order to minimize unnecessary uncompensated costs in the event of errors in the road network. When solving such a problem, sections of the urban street and road network are analyzed in order to identify problem areas that need reconstruction or redevelopment. The use of CA methods in such conjugate problems is due to the absence of a priori hypotheses regarding the classes that will be obtained as a result.

This paper analyzes ways to improve the cryptographic strength of the symmetric block cipher RC5. The task to enhance the stability of the classic RC5 cipher is explained by the fact that it is part of various open cryptographic libraries and is frequently used in practice. Several methods have been considered, applying which theoretically contributes to improving the stability of cryptographic transformations. It is found that unlike other alternatives (increasing the number of rounds, the length of the key, and the encryption block), the use of nonlinear shift functions does not increase the computational complexity of the RC5 algorithm. The study result has helped build an analytical model that was implemented in the form of the MATLAB (USA) software application. The software interface provides the ability to manually change the encryption parameters of the RC5 crypto algorithm. The resulting upgrade of the RC5 crypto algorithm has been tested on different sets of input data during encryption and decryption. The resulting modification also does not lead to an increase in the calculation time but makes it possible to improve the resistance to hacking the encrypted data by several orders of magnitude (210), provided that differential analysis methods are used and the number of rounds is 14. For one of the nonlinear functions used, resistance to the differential cryptoanalysis used increased by 212 times already in the eleventh round of encryption. The reliability of the improved cryptosystem has been confirmed by the absence of statistical correlation between the blocks of incoming messages and output blocks, the absence of collisions at which it is possible to obtain the same sequences of bits at the output with different messages at the input. The resulting algorithm could be applied in computer systems with low computing performance

Rapid growth of information technologies causes the changes in many production processes. The effectiveness of elec-trotechnical means of infrared radiation is due to the application of new, scientifically grounded methods and means of energy supply control using controllers and personal computers, new information technologies and systems.Therefore, there is a need for further mathematical models development as well as information technology used in deci-sion support systems on infrared grain drying from elevators and granaries.Research and publication analysis on information support questions of grain drying based on infrared radiation technol-ogy has shown that the issues of information support systems are currently underexplored in scientific literature.The goal of this research is mathematical modeling of the IR grain drying process and information support development of the drying process, taking into account the obtained mathematical model.The improved model of the infrared drying process for grain crops is proposed, which, in contrast to the existing ones, is focused on application in decision support systems when organizing the drying process. The results of the experiments proved that infrared radiation use contributes to the intensification of the grain drying process due to a significant heat flux rate increasing on the material’s irradiated surface and the of infrared rays’ penetration into material. It has been proved that modern information technology, rational schemes and operating parameters of infrared grain drying processes utilization will reduce dehydration time with "gentle" drying modes to ensure the required quality parameters of the product.In this work it was first proposed to abandon probabilistic models of grain flow behavior under IR irradiation. A new mathematical model has been proposed based on information about the characteristics of the heat flow, dehydration and grain mass’ condition. This will significantly improve the IR grain drying process and get a higher quality product

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