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Currently, there is a contradiction between the growing number of mobile applications in use and the responsibility that is placed on them, on the one hand, and the imperfection of the methods and tools for ensuring the security of mobile applications, on the other hand. Therefore, ensuring the security of mobile applications by developing effective methods and tools is a challenging task today. This study aims to evaluate the mutual correlations and weights of factors and consequences of mobile application insecurity. We have developed a method of evaluating the weights of factors of mobile application insecurity, which, taking into account the mutual correlations of mobile application insecurity consequences from these factors, determines the weights of the factors and allows us to conclude which factors are necessary to identify and accurately determine (evaluate) to ensure an appropriate level of reliability of forecasting and assess the security of mobile applications. The experimental results of our research are the evaluation of the weights of ten OWASP mobile application insecurity factors the identification of the mutual correlations of the consequences of mobile applications’ insecurity from these factors, and the identification of common factors on which more than one consequence depends.

Inclusive access has been considered essential and relevant for decades. However, this issue has been in demand in the past years, both in Europe and Ukraine. One of the popular means of providing inclusive access within the city is information systems that are friendly to people with disabilities. The theoretical basis of such systems is the smart city concept, which has been briskly developed recently. It contains the principles of accessibility of public places, institutions, and establishments for people with special needs. In this work, it is analyzed the well-known algorithms for building optimal routes and available information services and mobile applications that solve the problem of visualizing public places and institutions with inclusive access and paving optimal routes to them. Keywords: inclusive access, optimal routing, shortest path search algorithms.