The Internet of Things (IoT) is becoming a regular part of our lives. The devices can be used in many sectors, such as education and in the learning process. The article describes the possibilities of using commonly available devices such as smart wristbands (watches) and eye tracking technology, i.e., using existing technical solutions and methods that rely on the application of sensors while maintaining non-invasiveness. By comparing the data from these devices, we observed how the students’ attention affects their results. We looked for a correlation between eye tracking, heart rate, and student attention and how it all impacts their learning outcomes. We evaluate the obtained data in order to determine whether there is a degree of dependence between concentration and heart rate of students.

The following case study was carried out on a sample of one experimental and one control group. The participants of the experimental group watched the movie section from the standardized LATEMO-E database via virtual reality (VR) on Oculus Rift S and HTC Vive Pro devices. In the control group, the movie section was displayed on the LCD monitor. The movie section was categorized according to Ekman's and Russell's classification model of evoking an emotional state. The range of valence and arousal was determined in both observed groups. Valence and arousal were measured in each group using a Self-Assessment Manikin (SAM). The control group was captured by a camera and evaluated by Affdex software from Affectiva in order to compare valence values. The control group showed a very high correlation (0.92) between SAM and Affdex results. Having considered the Affdex results as a reference value, it can be concluded that SAM participants evaluated their emotions objectively. The results from both groups show that the movie section is supposed to evoke negative emotion. Negative emotion was perceived more intensely than its counterpart, positive emotion. Using virtual reality to evoke negative emotion (anger) has confirmed that VR triggers a significantly stronger intensity of emotion than LCD.

Today's trend is the use of information technology in all areas of our lives. Emotions are a basic human characteristic, although they are difficult to define, recognise and classify. Proper assessment and recognition of human emotions can lead to a better understanding of user behaviour. The aforementioned technologies can also be used as a suitable teaching aid, which forms the core of the research and is able to guarantee an increase in the success rate of the teaching process itself in terms of students' understanding of the learning materials. The aim of the research was the use of sensor networks as an element of information and communication technologies in the educational process. Using the possibility of measuring physiological functions through smart wristbands in order to identify changes in students' emotional states. The overall proposed system was able to identify changes in students' emotional state, specifically levels of arousal. Based on the results from the proposed system, teachers should be able to adjust their teaching style in specific situations to suit the students and provide a basis for better teaching and learning. Keywords: emotional states, internet of things, physiological functions, teaching process, smart wristbands, sensory networks

A computer network is a perfect system of connected and cooperating computers. It forms the basis of many other systems. The aim of the paper is to analyse and propose security for local computer networks. The aim of the analysis is to create a compact overview of the information that is important for understanding the potential risks and threats in computer networks. In the case study, we conducted simulations of attacks. Specifically, we have chosen the most popular attacks, the ARP spoofing and Session hijacking attacks. To perform a simulation, we used two tools, Cain & Abel and Wireshark. After the execution of simulations, we examined the proposal for network safety. The most important factors that need to be addressed when defining LAN security are maintaining confidentiality, integrity, availability of information, and authenticity.