IoT

Analysis of artificial intelligence methods for rail transport traffic noise detection

Nowadays, many cities all over the world suffer from noise pollution. Noise is an invisible danger that can cause health problems for both people and wildlife. Therefore, it is essential to estimate the environmental noise level and implement corrective measures. There are a number of noise identification techniques, and the choice of the most appropriate technique depends upon the information required and its application. Analyzing audio data requires three key aspects to be considered such as time period, amplitude, and frequency.

Modern technologies of automation of warehouse activities of enterprises

The article is devoted to the study of new technologies in warehouses; the essence of the “distribution channel” is considered through the analysis of the definitions of this term by various authors; the difference between the supply channel, the goods movement channel and the distribution channel was analyzed; the main changes and problems in the field of distribution over the past few years have been identified; describes the most innovative technologies for digitalization of warehouses.

DEVELOPMENT OF SESSION ANALYSIS SYSTEMS WITH IOT DEVICES FOR PROTECTION AGAINST BOTNETS

This paper has been devoted to the development of session analysis systems with IoT devices for protection against botnets and as a consequence of the protection of Internet of Things devices from the intrusion of malicious bot networks. To implement it, our own botnet based on the SSH protocol has been developed. To ensure high reliability and decentralization, the botnet manages through a separate database server, which

Investigation of Greenhouse Monitoring and Control System

Unsuitable climatic conditions, various natural disasters and instability and unpredictability of the weather significantly complicate cultivation, and sometimes make it even impossible. To ensure the best conditions for cultivation and the highest yields, farmers began to use greenhouses. However, in our hectic lives, people are constantly busy with something and there is no enough time. Long trips, business trips, vacations are also possible. It is becoming increasingly difficult to provide the necessary conditions for plants to grow on their own.

Mobile Information System for Monitoring the Spread of Viruses in Smart Cities

The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages.

Systematic Mapping Study on Verification and Validation of Industrial Third-party Iot Applications

The next industrial revolution commonly known as Industry 4.0 represents the idea of interconnected manufacturing, where intelligent devices, systems and processes exchange information, resources and artifacts to optimize the complete value-added chain and to reduce costs and time-to- market. Industrial software ecosystems are a good example how the latest digitalization trends are applied in the industry domain and how with the help of industrial IoT applications the production process can be optimized.

Comparison of aead-algorithms for embedded systems іnternet of things

The article compares the performance and memory requirements of AES-GCM and ChaCha20Poly1305 AED encryption solutions for typical 8/16/32-bit embedded low-end processors in the Internet of Things device with different approaches to providing tolerance to Timing Attacks and Simple Power Analysis Attacks. Particular attention is given to the low-level multiplication implementation in GF(2128) with constant execution time as a key GCM operation, since low-end processors do not have ready instructions for carry-less multiplication.

GDP in Value as a Measure for Evaluating Annual Data Flow Increase on IoT

The article deals with the problem of assessing the primary data load on the IOT, generated by the year. GDP in the money presentation has been used to estimate the amount of information that enters the network directly from things. Having advanced the postulate that the amount of data emanating from a thing is proportional to the product of its mass (thing) by its specific orderliness, it is concluded that it is possible to use a volume of the generated order principle. Dual model allowing to estimate objective thing’s prices, has been proposed

Problems of privacy and security in cyber physical systems of intellectual houses

Smart homes have become increasingly popular for IoT products and services with a lot of promises for improving the quality of life of individuals. Nevertheless, the heterogeneous, dynamic, and Internet-connected nature of this environment adds new concerns as private data becomes accessible, often without the householders’ awareness. This accessibility alongside with the rising risks of data security and privacy breaches, makes smart home security a critical topic that deserves scrutiny.