Authors
Protasova A.
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Degree
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Synergy University |
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E-mail
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aprotasova@synergy.ru |
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Location
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Moscow |
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Articles
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Online trading fraudThe article is devoted to the study of various methods of payment fraud in online trading, which
are most common in recent years. The paper describes the features of various types of fraud, effective
and popular programs to prevent fraud in online trading, and investigates the characteristics of the
programs to track suspicious transactions. The article is intended to form an idea of the most common
methods of payment fraud in online trading and a set of measures to prevent them.
The development of modern information and computer technologies affects all spheres of human
life and activity. And even traditional trading is increasingly shifting towards online trading, leading
to various ways of scamming online trading. Fraud in trade is called payment fraud, which refers
to any kind of illegal or improperly executed transaction. Payment fraud is a long-standing problem.
For quite a long time, the favorite method of fraudsters was the theft of a Bank card and subsequent
purchases using this card. This is still happening, but a relatively new type of fraud — online trading
fraud — is becoming more common. There are many schemes of fraud in online trading, some of
which can be called advanced and difficult to prevent, so it may seem that the losses of online stores
in connection with the activities of scammers are inevitable. But modern transaction monitoring technologies
and an advanced authentication system can allow companies from the online trading sector
to minimize these losses.
This article analyzes the different ways of fraud in online trading, their main features. The purpose
of this work is to identify methods of detecting fraud in online trading and develop a set of measures
that can help to track and prevent this fraud. The object of the study are the processes of fraud.
The subject of the study is the methods of fraud detection, and measures to track and prevent fraud.
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Modern technologies for face identification: study of the algorithm of work and us The relevance of using face recognition technology in the modern world of computer technology is no longer in doubt: government agencies and various organizations are successfully using the ability to identify a person without a password, which is a very convenient function and significantly saves time. The aim of the study of this topic is to form an understanding of modern methods, principles and algorithms of facial identification technology, as well as teaching students self-study and analysis methods using practical examples of facial identifi technology using the image analysis program “Facial Recognition Test Application”. To achieve this goal, it is necessary to solve the following tasks: to educate students in formalizing the tasks of the applied field, in solving which it is necessary to use quantitative and qualitative assessments, to form the students' ability to conduct scientifi experiments, to teach methods of researching modern problems of applied computer science and computer technology. The results of the presented study are familiarization with the methods and algorithms of the face recognition technology, and also, as an applied application in the educational process, a laboratory workshop “Face Identification Technology Using the Facial Recognition Test Application Image Analysis Program” was developed, which can be used to conduct laboratory classes in the discipline "Multimedia Technologies" and a number of other educational disciplines in the field of computer technology.
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