This paper examines the conditions for conducting a Man in the middle (MITM) attack in networks using the Address Resolution Protocol (ARP), as well as possible methods for detecting and preventing such attacks. Examples of implementation of denial of service (DoS) attacks in a peer-to-peer network using the ARP protocol are given. An implementation of an ARP spoofing attack in Python and C # using the sharppcap library is presented. Examples of Man-in-the-middle attacks such as DHCP spoofing and ICMP redirection are provided. Describes the techniques of hacking the router and spoofing the MAC address.

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Abstract. All available algorithms and suitable for pattern recognition do not give 100% guarantee, therefore there is a field of scientific night activity in this direction, studies are relevant. It is proposed to develop existing technologies for pattern recognition in the form of application of identification measurements. The purpose of the study is to identify the possibility of recognizing images using identification measurement technologies. In solving problems of pattern recognition, neural networks and hidden Markov models are mainly used. A fundamentally new approach to the solution of problems of pattern recognition based on the technology of identification signal measurements (IIS) is proposed. The essence of IIS technology is the quantitative evaluation of the shape of images using special tools and algorithms.

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Аннотация. При обработке сигналов возникает необходимость обработки данных в клиент-серверной модели. Однако из-за специфики данных тривиальные подходы (WEB forms и MVC) недопустимы для работы с большими массивами данных. В статье описываются преимущества использования архитектурного стиля REST для обработки массивов данных. Приводятся рекомендации по настройке доступа к источнику данных и выделяются преимущества по использованию ORM системы (Object relation mapping) Entity Framework.