E-health sensors are continuing to become more advanced and more reliable in monitoring the human physiological status. There is a continuous scope for improvement in their implementation in different emergency situations. Military organisations can take an advantage of this technology for applying physiological status monitoring on personnel engaged in military operations. This implementation is driven by continuous enhancements of existing communication equipment that produces more data capable radio networks in military environment. Based on these technologies we are proposing system communication architecture for applying real-time physiological status monitoring for personnel engaged in military operations. To examine the proposed architecture, a laboratory testing was performed. The laboratory work included a definition of military communication equipment, testing the received data with custom developed algorithm based on Markov decision process for automating the medical emergency protocol (MDP-AMEP) and implementation of adequate data protocols for data transmitting. Obtained results showed that physiological status of the military personnel can be successfully monitored by using tactical military network.

Nowadays, sensors, algorithms and software applications are embedded in people’s everyday lives. To be more precise, living environment is significantly dependent on previously mentioned technology especially in the field of medicine. The ultimate goal of this research is to collect data from different medical sensors platform, which can be used in initial medical assessment and management in the living environment. Furthermore, collected data from sport’s activity were analysed in order to measure the strength of linear association between variables. First, research on market available equipment is performed which is focused on medical sensors for assisted living in people’s everyday environment. Second, research on hardware in terms of tablet, desktop machines, iPad etc. is conducted and scenarios of using the hardware are elaborated. Regarding the scenarios, the concept that demonstrates the advantages and disadvantages of the system for ambient assisted living is shown. The architecture of the system followed by sensors, computer networks, terminals is included and the technology for achieving the system’s functionality is presented. Next, the Zephyr Bioharness 3 sensor for measuring physiological data is used for collecting data in the living environment. Finally, integration of the sensor with the most convenient terminal in the living environment is done and collected data are visualized via MATLAB. The parameters monitored are Heart Rate (HR), Respiratory Rate (RR), Peak Acceleration (PkAcc). The proof of the correlation between listed parameters describes the physiological status in the living environment. The ratio between HR and PkAcc is 0.91. It is a strong positive correlation. It means that changes in heart beats are linearly followed by the peak acceleration. Next, the ratio between HR and RR is 0.88. It is also a strong positive correlation. It means that changes in heart beats are linearly followed by the respiratory rate. The ratio between RR and PkAcc is 0.84. Again, it is a strong positive correlation. It means that changes in respiratory rate are linearly followed by the peak acceleration.

The article is devoted to the ongoing scientific and applied issue on improvement of systems of detection of cyberattacks on net- work objects of computer systems. Detection systems are considered based on determining the tolerance of deviations of the current values of the controlled functional parameters of the computer system from the profiles of normal behavior. It is established that one of the main disad- vantages of network cyberattack detection systems is the imperfection of normal behavior profiles, which are insufficiently adapted to the typ- ical non-stationary nature of the dynamics of the controlled functional parameters. It is proposed to form non-stationary profiles of normal be- havior of network objects of computer systems on the basis of multipe- riodic Markov model, which allows to take into account the typical na- ture of the dynamics of functional parameters that reflect the state of se- curity of network objects of computer systems. The peculiarity of the model is the modeling of each of the stationary sections of the dynamics of the functional parameter using a homogeneous Markov chain with successive transitions. It is experimentally established that the applica- tion of the developed multiperiodic model allows to increase the accu- racy of forecasting the dynamics of functional parameters up to 2 times. Moreover, it is shown that the prospects for further research are associ- ated with the development of methods for applying the solutions of the theory of spectral analysis of data to determine the significant periods of the process of changing functional parameters.

A software-defined networking is a complex system that consists of a set of end nodes and switching nodes, as well as communication channels that connect them to each other. In such networks, along with the information transmission processes in the communication channels, there are also processes of information sharing that take place and take place at the switching nodes. In a software-defined networking, the central controller manages these distribution processes. Therefore, in the construction of software-defined networking should take into account the quality indicators that characterize these processes. First of all, these indicators are related to delay and loss of messages, errors in the delivery of messages to specific recipients, time of delivery of the data stream, topology of the software-defined networking, etc. They can be described by numerical parametric characteristics, which may be restricted. To design and construct SDNs, developers try to find the values of the characteristics that would optimally satisfy the functioning of the network by minimizing or max- imizing its quality. And the tasks of researching and finding such characteristics are inherently multi-criteria. For a complex solution of the general issue of con- struction a software-defined networking, the article discusses the basic require- ments that apply to the criteria in multicriteria tasks. The process of normaliza- tion of the parameters of the criterion functions in the formation of the Pareto- optimal set of solutions is described and recommendations are given with their subsequent use.