Abstract—We believe that, at present, researchers cannot develop an effective method of support due to insufficient theoretical knowledge about structural identification. The work contains a new approach to the development of the combined support method. This approach, in particular, includes the comprehensive application of the system approach, the principle of considering structural identification and the problem of creating a combined support method as system objects, and the comprehensive application of an interdisciplinary approach. Taken together, the new results formulation of the problem of creating a combined support method.

Using a linear integral representation method and raw satellite data, we constructed analytical models of the crustal magnetic field of Mars. We used spherical, rectangular grids with equal-area dimensions to sample data. We analyzed satellite mea- surements and introduced several criteria for possible sampling while creating magnetic field models of Mars.

A new combined method for solution of nonlinear reverse gravimetry tasks is tested in this work using three data types: gravity field, topography, and crustal thickness in the area of Elysium Planitia on Mars.

For present-day facilities of increased danger, such time-related performance measures as delays in control actions transmission and emergency signals presentation are critical. Taking into consideration the appropriate control systems, one can note that the knowledge of arrival processes is necessary for the assessment of such delays. A couple of significant branches of applied mathematics: queueing theory and a theory of deterministic queuing systems network calculus operate with arrival processes and can help with delay evaluation. Arrival curves, a representation of arrival processes in network calculus, seem to be much easier to handle and obtain than probability distributions used in queueing theory. Nevertheless, many different arrival curves can be distinguished, each of them having its pros and cons. The article considers the problem of arrival curve representation and calculation for facilities of increased danger. It discloses the duality of the concept of arrival curve and investigates different types of them: the classical minimal arrival curve, the empirical one, linear arrival curves based on the empirical ones, and arrival curves on finite intervals. For the empirical arrival curve, the algorithm is presented, and the drawbacks are revealed. The advantages and disadvantages of empirical-based linear arrival curves are pointed out. The concept of arrival curves on finite intervals is considered, and the linear representation of them is highlighted. The algorithm for the calculation of linear arrival curves on finite intervals is presented, and their advantages are discussed.

Internet of Things technologies are currently rapidly developing. They provide partial or complete automation in production, security, and household spheres. However, given the amount of data that the Internet of Things currently operates with, it is necessary to improve methods and approaches to the information security of such systems. The article proposes to pay attention to assessing information risks as an aspect of information security. This paper studies the use of the complex assessment mechanism to assess the security level of the Internet of Things by analyzing information risks. We propose an approach to assess the confidentiality of a system as a component of the integral information risk. The proposed approach consists of seven stages. The assessment is made by comparing vulnerabilities and possible attacks on the system (stages 1–4), as well as using typical mechanisms of complex assessment (stages 5–7). The second section contains a description of the approach itself. The third section of the paper contains examples of possible scales and values of criteria for complex assessment. The importance of this approach is to calculate the local risk for further assessment of the security level of the system.