Infectious diseases accompanied mankind throughout its existence. However, in the 20 th century, with the implementation od mass vaccination, this problem was partially forgotten. It reappeared at the end of the 2019 with the COVID-19 pandemic. The diseases are associated with high mortality, the main causes of which are: respiratory failure, acute respiratory distress syndrome, thrombotic complications, etc. As many centuries ago, the key to fighting a pandemic is to diagnose patients with infections as quickly as possible, isolate them, and implement treatment procedures. In this paper we propose a Platform supporting medics in the fight against epidemic. Unlike alternative systems, the proposed IT Platform will ultimately cover all areas of fighting against COVID-19, from the diagnosis of infection, through treatment, to rehabilitation of post-disease complications. Like most clinical information systems, the Platform is based on Artificial Intelligence, in particular Federated Learning. Also, unlike known solutions, it uses all available historical data of the patient’s health and information from real-time mobile diagnostics, using cellular communication and Internet of Things solutions. Such solutions could be helpful in fighting against any future mass infections.

This work presents solution of a bus interconnection network set designing task on the base of a hypergraph model. In order to do this the interconnection network is presented as a multipartite hypergraph. A system with virtual bus connections functioning in an environment of common physical channel was analyzed, which is characteristic of the networks based on the WDM technology. The mathematical reliability model was proposed for two modes of system functioning: with redundancy of communication subsystem and division of communication load. As solution estimation criteria the expected changes of processing efficiency changes were used as also a communication delay change criteria and system reliability criteria. The designing task solution is searched in a Pareto set composed of Pareto optima. The selection procedure of a specific solution in the case of its equivalency in relation to a vector goal function was presented.

In this paper the results concerning changes introduced into the architecture of connections of an industrial computer network built on the basis of solutions characteristic of the Industrial Internet of Things were described. We introduce the new solutions improving such properties of industrial networks as: reliability, information security and usage of computational resources available in edge elements. The basic goal of the research was ensuring continuous functioning of the industrial computer network. Isolation of critical elements of the technological process can have far-reaching consequences, including local threats to workers' health and life, and even global technological disasters. Continuity of operation as a consequence of the reliability of the components of an information system is one of its most desirable properties.The offered solution is based on the use of multi-channel reconfigured optical bus that is activated when the basic communication channels fail. In addition, the use of the described solutions for the build of a parallel, heterogeneous computing system based on elements of the Arduino and Raspberry Pi and system servers has been described and evaluated.

<p>This article is addressed in most part to people dealing with security of web servers. This paper begins with presenting the statistical dimension of the issue of data security in the modern Internet. This paper begins with presenting statistics dealing with issues of data security on the modern World Wide Web. The authors main focus in this work is presenting the challenges of dealing with security and protection of web communication. The work analyses the security of implementing SSL/TLS (Secure Socket Layer/Transport Layer Security) protocol and proposes a new method of increasing security of web servers. This article is addressed to people dealing with analysis and security of web servers.</p>

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